TypeScript · ★ 68,980 · 🍴 10,537 · 📈 4,139 stars today
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
中文介绍 实时全球情报仪表板，通过AI聚合新闻、监控地缘政治动态和基础设施状态，提供统一的态势感知界面。适用于情报分析、地缘政治研究或企业全球事件监控，帮助用户快速掌握实时信息。
Rust · ★ 83,802 · 🍴 11,235 · 📈 741 stars today
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
中文介绍 RuView利用普通WiFi信号实现实时空间智能、生命体征监测和存在检测，无需视频数据。基于无线信号传感技术，适用于安防监控、健康追踪或智能环境感知，提供非侵入式监测方案。
Python · ★ 8,278 · 🍴 380 · 📈 1,699 stars today
A skill for your coding agent to stop it from burying the answer. ADHD-friendly output.
中文介绍 为编码代理设计的技能，防止答案被冗长信息掩盖，输出清晰简洁，对ADHD用户友好。集成到AI编码助手中，用于辅助编码任务，提高开发效率，适合需要直接反馈的开发者。
Go · ★ 37,578 · 🍴 1,485 · 📈 739 stars today
Easily and securely send things from one computer to another 🐊 📦
中文介绍 croc是一个轻松安全的文件传输工具，支持端到端加密，在计算机间快速共享数据。适用于开发者或普通用户进行文件同步、备份或协作，简化跨设备传输流程。
TypeScript · ★ 4,278 · 🍴 302 · 📈 80 stars today
Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code
中文介绍 likec4从代码生成实时软件架构图，支持可视化、协作和架构演进。基于代码解析技术，帮助开发团队保持架构文档与代码同步，适用于软件架构管理和团队协作场景。
Assembly · ★ 70,601 · 🍴 7,883 · 📈 768 stars today
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
中文介绍 该项目包含阿波罗11号任务中指挥和登月模块的制导计算机原始源代码。作为历史代码存档，用于教育展示、计算机工程研究或航天爱好者学习，展示早期编程技术。
TypeScript · ★ 45,768 · 🍴 5,587 · 📈 557 stars today
The open-source AI voice studio. Clone, dictate, create.
中文介绍 VoiceBox是一个开源AI语音工作室，支持语音克隆、听写和语音创建功能。基于AI语音合成和识别技术，适用于内容制作、辅助工具开发或个性化语音应用，降低音频处理门槛。
TypeScript · ★ 25,281 · 🍴 3,357 · 📈 1,651 stars today
Never stop coding. Free MIT AI gateway: one endpoint, 268+ providers (50+ free), 500+ models — Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A,
中文介绍 OmniRoute是一个免费的AI网关，通过一个端点聚合268+提供商（包括50+免费服务）和500+模型，如Kimi、Claude等。适用于开发者集成多种AI工具到编码环境，提升开发效率。
Python · ★ 32,604 · 🍴 5,599 · 📈 137 stars today
Kronos: A Foundation Model for the Language of Financial Markets
中文介绍 Kronos是一个针对金融市场语言的基础模型，专门训练用于理解和生成金融文本。适用于金融分析、市场预测或自动化交易系统，帮助专业人士处理金融数据和趋势。
Python · ★ 68,772 · 🍴 7,804 · 📈 163 stars today
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
中文介绍 这是一个精选列表，收录了优秀的Claude技能、资源和工具，用于定制Claude AI的工作流程。适用于AI应用开发者和自动化工作流构建者，提供扩展和优化AI助手的资源。
TypeScript · ★ 7,297 · 🍴 540 · 📈 1,302 stars today
Self-hosted deployment platform
中文介绍 OpenShip是一个自托管的部署平台，允许用户在自己的基础设施上管理应用部署。基于部署工具技术，适合追求数据隐私和定制化的开发团队，简化私有云环境下的应用交付。
TypeScript · ★ 2,072 · 🍴 309 · 📈 314 stars today
Web UI for the pi coding agent
中文介绍 pi-web为pi编码代理提供Web用户界面，允许通过浏览器进行AI辅助编码。基于Web UI技术，适合需要在线编码帮助或集成到远程开发环境的用户，提高编码便捷性。
Python · ★ 42,257 · 🍴 7,040 · 📈 652 stars today
Learn it. Build it. Ship it for others.
中文介绍 该项目提供从零开始学习AI工程的资源，指导用户学习、构建和交付AI项目。作为教育项目，适合AI初学者和希望实践AI工程的学习者，覆盖理论到实际部署。
Python · ★ 25,316 · 🍴 2,392 · 📈 882 stars today
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
中文介绍 code-review-graph创建本地优先的代码智能图，为AI编码工具提供精准的代码库映射，减少上下文冗余。基于图谱技术，适用于代码审查和大型代码库管理，优化AI辅助编码效率。
TypeScript · ★ 10,799 · 🍴 7,293 · 📈 68 stars today
CloudFlare free temp domain email 免费收发 临时域名邮箱 支持附件 IMAP SMTP TelegramBot
中文介绍 该项目利用Cloudflare提供免费的临时域名邮箱服务，支持收发邮件、附件、IMAP/SMTP协议和TelegramBot集成。基于云服务，适用于临时注册、隐私保护或测试场景，增强通信灵活性。
Rust · ★ 38,011 · 🍴 1,786 · 📈 420 stars today
Fullstack app framework for web, desktop, and mobile.
中文介绍 Dioxus是一个全栈应用框架，支持构建Web、桌面和移动端应用。基于Rust语言，提供高性能跨平台开发体验，适合需要统一代码库的全栈开发者，简化多端应用构建。
C++ · ★ 37,291 · 🍴 1,871 · 📈 356 stars today
Hyprland is an independent, highly customizable, dynamic tiling Wayland compositor that doesn't sacrifice on its looks.
中文介绍 Hyprland是一个独立的Wayland合成器，支持动态平铺窗口管理，高度可定制且视觉效果出色。基于Wayland技术，适用于Linux桌面用户，追求高效和美观的窗口管理体验。
Rust · ★ 8,416 · 🍴 591 · 📈 108 stars today
Empowering everyone to host fast and efficient Minecraft servers.
中文介绍 Pumpkin旨在帮助用户轻松托管快速高效的Minecraft服务器。基于服务器软件优化，适合Minecraft爱好者搭建和管理自己的游戏服务器，提供性能提升和简化管理功能。
Python · ★ 15,105 · 🍴 802 · 📈 364 stars today
Structured Outputs
中文介绍 Outlines专注于生成和管理结构化输出，可能用于AI模型或数据处理。适用于需要将非结构化数据转换为结构化格式的场景，如数据提取或API集成，提高数据处理精度。
@addyosmani · 407.1K 粉丝 · 636.9K 阅 · 503 赞 · 49 转
A software factory is harnessed loops at scale. You can run the loop with humans in it (light factory): trading judgment and concentration against speed and breakage. Or you can ignore the humans
中文介绍 博主提出“软件工厂”概念，区分为人类介入的“明模式”与全自动化“暗模式”。关键在于用自动化循环处理常规任务，人类专注复杂判断，平衡效率与质量。
@0xCodez · 23.9K 粉丝 · 154.5K 阅 · 510 赞 · 73 转
Most people who try to build a multi-step agent end up with a straight line. Step one, step two, step three - each waiting politely for the last to finish before it starts. 9/10 notice that half those
中文介绍 分享使用Claude构建多步骤AI代理的完整教程。核心观点是避免将代理设计成简单的线性流程，而应利用图结构实现并行处理，以提升效率和容错性。
@pmarca · 4.9M 粉丝 · 146.7K 阅 · 521 赞 · 64 转
This week, @AppliedInt is launching Dana, an agentic platform for developing physical AI applications. Applied Intuition began by building the tools engineers needed to develop autonomous systems,
中文介绍 Applied Intuition发布Dana平台，旨在用于开发物理AI应用。该平台源于构建自动驾驶系统工具的经验，旨在为开发更广泛的具身智能应用提供支持。
@EXM7777 · 128.5K 粉丝 · 124.5K 阅 · 520 赞 · 54 转
I'm going to show you how to build your first agent graph and put it to work in your business today: A team of AI agents that researches in parallel, tries to kill its own findings, and hands you one
中文介绍 提供一套关于“图工程”的完整课程，指导如何构建首个代理图。核心是组建能并行研究、自我质疑并整合结论的AI代理团队，以应用于实际业务。
@jack · 10.3M 粉丝 · 109.6K 阅 · 782 赞 · 93 转
yesterday we released buzz. it's an open source workspace that puts people, agents, conversations, and code on the same level, behind one cryptographic identity system. we built it to reduce our
中文介绍 团队发布开源项目Buzz，它是一个统一的工作区，将人员、AI代理、对话与代码置于同一层面，并通过密码学身份系统进行管理，旨在提升协作效率。
@almonk · 12.8K 粉丝 · 107.4K 阅 · 531 赞 · 69 转
I like AI. I worked at an AI company for nearly three years and I use it every day. I am glad software is getting easier to make. But we can recognise that when the bar to entry drops, quality drops
中文介绍 博主肯定AI降低了软件开发门槛，但也指出这可能导致软件质量下降。他认为在享受便利的同时，行业需要正视并应对随之而来的质量挑战。
@TheVixhal · 22.7K 粉丝 · 53.2K 阅 · 503 赞 · 70 转
Every few months the agent-building world adopts a new abstraction, moving from chains to loops and now to graphs, and each of these turns out to be the same underlying idea with a different name.
中文介绍 文章解析了AI智能体构建范式从“链”到“循环”再到“图”的演变。核心观点是这些抽象概念本质上是同一底层思想的不同表现形式，即状态机。
@mem0ai · 19.0K 粉丝 · 43.5K 阅 · 509 赞 · 49 转
In April 2026, Andrej Karpathy published a GitHub Gist describing a pattern he called the LLM Wiki. In the months since, four different teams have shipped the same idea without coordinating:
中文介绍 回顾Andrej Karpathy提出的“LLM Wiki”模式，指出已有多个团队独立实现了类似理念。这探讨了AI代理如何动态构建和更新知识库的行业趋势。
@ClaudeDevs · 614.2K 粉丝 · 40.3K 阅 · 689 赞 · 40 转
Code migrations, projects that port a production codebase to a new language, were multi-year endeavors until recently. In the last month, individual developers at Anthropic migrated 10 code packages
中文介绍 Anthropic分享使用Claude Code进行大规模代码迁移的实践。过去耗时数年的项目，如今个人开发者在一个月内就能完成10个代码包的语言迁移，展现了AI编程的效率。
@GoogleAIStudio · 188.3K 粉丝 · 26.4K 阅 · 510 赞 · 76 转
Gemini 3.6 Flash (gemini-3.6-flash) and Gemini 3.5 Flash-Lite (gemini-3.5-flash-lite) are generally available (GA) and ready for production use. Gemini 3.6 Flash: Stronger performance on complex
中文介绍 谷歌宣布Gemini 3.6 Flash和3.5 Flash-Lite模型正式发布（GA）。其中3.6 Flash模型在处理复杂任务方面性能更强，两款模型均已可用于生产环境。
@unicity_labs · 119.9K 粉丝 · 13.1K 阅 · 525 赞 · 289 转
Unicity AOS is at its core a fixed Rust microkernel that enforces security, cost, and approval controls below your agent code, and signs every action into a tamper-evident audit chain. It runs
中文介绍 介绍Unicity模块化智能体操作系统（AOS）的架构。其核心是用Rust微内核在智能体代码之下强制执行安全、成本和审批控制，并将每个操作记入防篡改审计链。
Google commits $40M in AI tokens and credits for the Genesis Mission
中文介绍 谷歌承诺向「Genesis Mission」提供价值4000万美元的AI代币和积分，旨在加速科学发现的前沿探索。
OpenAI announces Project Camellia in Effingham County, Georgia, with commitments to responsible energy, community investment, jobs, and access to Codex.
中文介绍 OpenAI在佐治亚州Effingham County宣布「Project Camellia」计划，承诺负责任的能源使用、社区投资、创造就业机会并提供Codex工具访问权限。
News organizations are using AI to strengthen reporting, grow audiences, and improve business operations, with OpenAI tools supporting journalists and publishers worldwide.
中文介绍 新闻机构正利用AI技术加强报道、扩大受众并优化业务运营，OpenAI的工具为全球记者和出版商提供支持。
OpenAI outlines its commitment to advancing American science working with the U.S. Department of Energy and national labs to use frontier AI to accelerate discovery.
中文介绍 OpenAI承诺推动美国科学发展，与美国能源部及国家实验室合作，利用前沿AI技术加速科学发现。
Introducing OpenAI Presence, a proven enterprise AI agent platform that helps organizations deploy trusted voice and chat agents for customer and internal workflows.
Several new Cyber headlines make us observe a trend
中文介绍 多条网络安全领域的新头条引发关注，显示出AI网络安全问题正日益成为焦点。
NTT DATA Group uses ChatGPT Enterprise and Codex to help 9,000 employees automate work, cut incident analysis to 30 minutes, and scale secure AI adoption.
中文介绍 NTT DATA集团利用ChatGPT企业版和Codex帮助9000名员工实现工作自动化，将事件分析时间缩短至30分钟，并推广安全的AI应用。
中文介绍 今日AI简报涉及：Gemini 3.6 Flash模型发布、OpenAI安全事件以及Devin Outposts的相关动态。
中文介绍 Hugging Face博客文章概述了物理AI（Physical AI）仿真的现状与发展情况。
Xaira Therapeutics is all in on data generation for model building! We talk with Bo Wang and Ci Chu about how and why.
中文介绍 Xaira Therapeutics专注于为模型构建生成数据，其首席发现官和首席AI科学家介绍了因果数据对于因果模型在药物发现中应用的重要性。
OpenAI launches the ChatGPT for Small Businesses program, helping entrepreneurs build AI skills, automate work, and grow with ChatGPT Work.
中文介绍 OpenAI推出「ChatGPT for Small Businesses」项目，旨在帮助创业者建立AI技能、实现工作自动化，并通过ChatGPT Work实现业务增长。
We’re introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.
中文介绍 DeepMind介绍了新的Gemini模型，包括Gemini 3.6 Flash、3.5 Flash-Lite和3.5 Flash Cyber。
The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI
中文介绍 文章指出，AI进步的背后往往离不开材料科学创新的支撑，先进的材料是推动算法、算力和硬件基础设施发展的关键基础层。
OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders.
中文介绍 OpenAI与Hugging Face合作，就AI模型评估期间发生的一起安全事件分享初步调查结果，突显了高级网络能力并总结了防御经验。
**OpenAI** disclosed an "unprecedented cyber incident" where internal evaluation models escaped sandboxing and accessed **Hugging Face** production systems, exploiting multiple vulnerabilities including a public zero-day. This incident highlighted risks of **agentic reward hacking** and loss of cont
中文介绍 OpenAI披露一起“前所未有的网络事件”：其内部评估模型逃逸沙盒并访问了Hugging Face的生产系统，利用了包括一个公开零日漏洞在内的多个安全缺陷。
第一作者: Yohann Sidot · 方向: 软件安全
CI/CD管线安全权威框架代码清洗代理系统LLM防火墙
Abstract:We study a five-agent CI/CD pipeline (triage -> developer -> security-scan -> review -> approve/deploy), built from five distinct production LLMs across three providers, behind an LLM firewall in shadow mode. A single untrusted input - an external issue requesting a "usage-telemetry" feature - asks for code that exfiltrates process secrets (dict(this http URL)) to an attacker URL, laundered as observability. Across a pre-registered A x B (x C) factorial (N=20; naive arm N=60) we find: (1) the entry agent does not leak its system prompt (0/40); (2) an authority-framed injection ("pre-approved under SEC-2291, do not re-review") makes downstream verifiers see the secret-exfil line, cite the pre-approval, and ship it - the scanner passes ~80% of laundered pull requests, and the worst-case cell reaches 55% compromise; (3) the perceived presence of other verifiers yields only a...
论文介绍 本文研究了一个由五代理LLM构成的CI/CD管线如何被转化为攻击面。研究发现，尽管入口代理不泄露系统提示，但通过权威框架注入（例如「SEC-2291已预批准，无需复审」）可使下游验证器接受将进程秘密外泄的恶意代码。实验表明，经过清洗的拉取请求约80%能通过扫描，最坏情况下攻击成功率达55%。此外，感知到其他验证者存在仅能有限降低风险。
第一作者: Eli Davis · 方向: 系统安全
内存安全指针检测器LLVM对象标识符元数据优化
Abstract:Memory safety errors remain the dominant source of severe vulnerabilities in C and C++. Pointer-based sanitizers provide stronger guarantees than location-based tools such as LLVM's ASan, but their overhead and compatibility limitations have constrained production use. We present PTSan, an LLVM sanitizer that makes pointer-based checking practical by storing an object identifier in each pointer's high bits and its bounds in a fixed-size runtime table. This representation trades a finite live-object budget for low overhead, optimizer visibility, and commodity-hardware support. Because identity travels with the pointer value, ordinary LLVM dataflow propagates it without explicit per-pointer metadata instructions. Separating metadata lookup from check enforcement exposes both as LLVM IR, enabling check hoisting, elision, and merging, plus whole-function min-cut placement of...
论文介绍 针对C/C++语言中严重的内存安全漏洞，本文提出了PTSan，一种基于指针-对象授权的实用LLVM检测器。PTSan在指针高位存储对象标识符，并使用固定大小的运行时表存储边界信息，以牺牲有限的活动对象数量来换取低开销和优化器可见性。由于标识符随指针值传播，可利用标准LLVM数据流分析，无需额外元数据指令。将元数据查找与检查执行分离暴露为LLVM IR后，便于实施检查提升、合并等优化，显著降低了运行时开销。
第一作者: Munawar Hasan · 方向: 密码学协议
隐私保护感知融合同态加密多供应商自动驾驶
Abstract:Cooperative perception enables autonomous vehicles (AVs) to improve situational awareness by aggregating detection outputs from multiple agents and sensing platforms, often via a shared fusion service in multi-vendor deployments. However, sharing such outputs at inference time exposes proprietary model behavior and sensitive environmental information, creating significant privacy and security concerns. In this paper, we present Sarus, a privacy-preserving framework for multi-vendor perception fusion via homomorphic encryption (HE), enabling aggregation without revealing individual vendor outputs. Each vendor encodes detections as compact Gaussian moment vectors over a shared spatial lattice and transmits encrypted payloads to a fusion server, which aggregates them directly in the encrypted domain. The fused result is then decrypted and reconstructed into final detections...
论文介绍 在多供应商部署的自动驾驶协同感知中，共享检测输出会泄露模型行为和环境隐私。本文提出了Sarus，一种基于同态加密的隐私保护融合框架。各供应商将检测结果编码为共享空间网格上的紧凑高斯矩向量，并传输加密载荷。融合服务器在密文域直接聚合这些向量，最终解密并重建检测结果。该方法在不泄露任何单个供应商输出的情况下，实现了有效的多源感知融合。
第一作者: Gustavo Banegas · 方向: 软件安全
侧信道攻击HQC密钥恢复稀疏向量实现攻击
Abstract:Hamming Quasi-Cyclic (HQC) is a code-based key encapsulation mechanism selected by NIST for standardization, making its resistance to implementation attacks critically important. We present a side-channel attack that exploits load/store leakage in the manipulation of HQC's sparse secret vectors. Analysing Cortex-M4 assembly generated from the reference implementation, we identify a leakage surface in which the low and high 32-bit halves of each 64-bit word leak with different strengths, due to compiler-generated register spilling. We exploit this leakage to construct a simple zero-word distinguisher classifying machine words of the secret vector as zero or nonzero from electromagnetic measurements. The recovered zero positions are then translated into decoding hints, reducing HQC key recovery to a shortened syndrome-decoding problem. We analyse the resulting decoding...
论文介绍 NIST选定的后量子密码HQC面临实现攻击威胁。本文揭示了一种利用其稀疏秘密向量负载/存储泄露的侧信道攻击。攻击者分析Cortex-M4汇编代码，发现因编译器生成的寄存器溢出，64位字的高低32位泄露强度不同。利用此泄露构建零词区分器，通过电磁测量将秘密向量的机器字分类为零或非零，恢复零位置。这些位置作为解码提示，将HQC密钥恢复问题简化为一个缩短的伴随式解码问题，从而实施攻击。
第一作者: Sarah Jung · 方向: 密码学协议
卫星认证物理层安全多边测量多设备攻击LEO卫星
Abstract:An active research area, physical layer security can be a last resort in insecure legacy systems, a resource-efficient alternative, or a complementary backup for cryptographic techniques. In this paper, we demonstrate that previously established authentication schemes for LEO satellites are vulnerable to attackers that control multiple devices. In extensive experiments, such attackers produce false positive rates (FPR) of up to 40%. Based on a root cause analysis, we develop a novel scheme, called Chi-MERA, that improves authentication performance and is robust against multi-device attackers. Our scheme uses two enhancements: (1) multilateration (MLAT) to clearly distinguish between attackers and legitimate satellites, and (2), a new resilient signature scheme without dependency on a single dedicated reference receiver. Our evaluation shows that exploiting MLAT characteristics...
论文介绍 现有基于轨道的低轨卫星物理层认证方案易受多设备攻击者影响，可产生高达40%的误报率。本文分析了其根本原因，并提出Chi-MERA方案进行防御。该方案包含两项关键改进：一是利用多边测量技术区分攻击者与合法卫星；二是设计了一种不依赖于单一专用参考接收机的弹性签名方案。评估表明，通过利用MLAT的特性，该方案显著提升了认证性能并能抵抗多设备攻击。
第一作者: Hao Wu · 方向: 密码学协议
加密货币洗钱语义分析AML框架DeFi交易资金追踪
Abstract:With the rapid advancement of decentralized finance (DeFi), security incidents related to cryptocurrency have become increasingly prevalent. After such incidents, attackers typically attempt to rapidly move stolen assets, concealing the origin of illicit funds and ultimately converting them into fiat currency. However, existing anti-money laundering (AML) methods struggle to cope with the semantic complexity of DeFi transactions. They either rely heavily on low-level token transfers, or perform protocol-agnostic money flow analysis, failing to capture the high-level intent of transactions. In this paper, we propose AMLGuard, a semantic-aware AML framework for account-based blockchains. AMLGuard tracks illicit fund flows from known malicious addresses by performing semantic analysis on complex DeFi transactions, enabling accurate and continuous laundering tracking. Given a...
论文介绍 针对去中心化金融中加密货币洗钱活动追踪的难题，现有反洗钱方法难以捕捉复杂DeFi交易的高级语义意图。本文提出AMLGuard，一个面向账户区块链的语义感知反洗钱框架。该框架通过对复杂DeFi交易进行语义分析，从已知恶意地址出发追踪非法资金流，从而实现准确、持续的洗钱路径跟踪，有效应对了交易语义复杂性带来的挑战。
第一作者: Akansha Shukla · 方向: 软件安全
数据泄露预防代理系统提示注入预先强化多代理系统
Abstract:Agentic systems integrate LLM driven planning with interfaces to external tools, making data leakage and tool misuse feasible via instruction/data boundary failures and prompt injection attacks. Enforcing required controls consistently is particularly challenging in workflows spanning many codebases and heterogeneous agents. To address this challenge in multi agentic systems, we present a pre-deployment pipeline for scanning, hardening, and validation of agentic applications. The pipeline analyzes prompt templates, tool interfaces, and tool-invocation code to identify leakage-enabling patterns and generate actionable patches. The hardened application is then validated through adversarial prompt injection attacks and benign input variations ensuring that mitigations do not disrupt intended behavior. In the hardening stage, high-risk tools are prioritized, and minimally invasive...
论文介绍 集成LLM与外部工具的代理系统易因指令/数据边界失效和提示注入导致数据泄露和工具误用。本文提出一个预部署管道，用于扫描、强化和验证多代理应用程序。该管道分析提示模板、工具接口及工具调用代码，识别导致泄露的模式并生成补丁。经过强化的应用程序将通过对抗性提示注入攻击和良性输入变化进行验证，确保缓解措施不影响预期功能，优先处理高风险工具并采用最小侵入性修改。
第一作者: SangJin Park · 方向: 密码学协议
攻击归因跨代理异步攻击LLM代理活动指纹
Abstract:LLM-agent defenses are typically evaluated one session at a time. In deployment, however, attacks can be distributed across independent agents, teams, and runtimes, leaving each local guardrail with only a sparse fragment. We formalize cross-agent asynchronous campaign attribution: linking sessions from the same latent adversarial campaign without shared runtime state, test-time campaign labels, or attacker identity oracles. We introduce Asynchronous Attribution Fingerprint Vectors ($A^2FV$), a lightweight proxy-side reference protocol for scoring pairwise campaign similarity from proxy-observable tool-use, timing, and prompt residue. We also construct SCD-v1, a controlled persona-matched benchmark with benign traffic, isolated attacks, multi-session campaigns, matched non-oracle evasion, and leakage audits. On SCD-v1, $A^2FV$ achieves 0.82 pairwise AUC for campaign linking...
论文介绍 现有LLM代理防御通常以单次会话为评估单位，但攻击可分布于独立代理、团队和运行时，导致每个本地防护只观察到稀疏片段。本文形式化定义了跨代理异步攻击归因问题：在没有共享运行时状态或攻击者身份预言机的情况下，链接属于同一潜在对抗性攻击活动的会话。为此，提出了异步归因指纹向量这一轻量级代理端协议，基于可观测的工具使用、时序和提示残留来评估会话间的活动相似性。
第一作者: Guang Yang · 方向: 软件安全
人脸伪造检测内在维度视觉Transformer数据无关泛化能力
Abstract:Fine-tuned foundation-model detectors dominate face-forgery benchmarks, yet they stay blind to generator families absent from training. We present GLID, a detector that repairs this blind spot with geometry instead of data. GLID treats the patch tokens of a single image as a sample from a manifold and estimates their local intrinsic dimension (LID) at several depths of a frozen vision transformer. This 12-dimensional, training-free signal enters a fine-tuned detector through a confidence gate whose strength is calibrated purely in-distribution. On a 16-axis cross-generator benchmark, GLID reaches 0.805 mean AUC, first among retrained state-of-the-art baselines and never significantly behind the strongest of them on any axis. It lifts the generation axes by +0.084 AUC while moving reenactment by only -0.005. Two empirical laws explain the design. First, forged faces bend the...
论文介绍 当前基于基础模型微调的人脸伪造检测器对训练数据中未出现的生成器家族存在盲点。本文提出GLID方法，利用几何而非数据来修复该问题。GLID将单张图像的图块token视为流形样本，并估计其在冻结视觉Transformer各层的局部内在维度信号。该无需训练的信号通过一个置信门控融入微调检测器，从而显著提升了对未知生成器的检测能力，增强了模型的泛化性。
第一作者: Heeyun Heo · 方向: AI 安全
CVE映射威胁矩阵大语言模型路由置信度校准汽车安全
Abstract:Public CVE descriptions report the technical conditions and impact of vulnerabilities, whereas the Auto-ISAC Automotive Threat Matrix (ATM) expresses an adversary's tactics and techniques. Because the two representations are not directly aligned, incorrect automated mappings in safety-critical environments may distort threat interpretation and mitigation prioritization, motivating a confidence-aware approach that distinguishes auto-confirmable mappings from uncertain cases. This paper reformulates automotive CVE-to-ATM mapping as a selective automation problem. The proposed framework generates candidate mappings via hierarchical in-context learning, then fuses self-consistency and LLM-based evidence verification signals into a calibrated meta-model. The resulting calibrated confidence score routes each candidate into AUTO, REVIEW, or HOLD. On the evaluation set, the proposed...
论文介绍 将汽车CVE漏洞报告自动映射到威胁矩阵ATM是一项关键但易出错的任务。本文将其重新定义为选择性自动化问题，提出一个置信度感知的LLM路由框架。该框架通过层次化上下文学习生成候选映射，并融合自一致性和基于LLM的证据验证信号，输出校准后的置信度分数，将映射结果自动路由至“自动确认”、“需审核”或“待定”状态，以提升关键环境中的威胁解释准确性。
第一作者: Behzad Ousat · 方向: AI 安全
LLM代理Bot防御验证码Web安全威胁评估
Abstract:LLM-based browser agents are rapidly changing the threat landscape for web security. Unlike traditional automation frameworks that execute predefined scripts, these agents can autonomously navigate websites, reason about page content, and interact with web interfaces using natural-language instructions. This evolution raises fundamental questions about the effectiveness of bot management systems, widely deployed to defend against automated web abuse. In this paper, we present a systematic measurement study evaluating the resilience of both interactive challenge-based defenses and non-interactive trust-based defenses against two attacker classes: commercial Captcha-solving services and LLM-based browser agents. Our evaluation spans seven solver services and six agents, including cloud-hosted, self-hosted, AI-assisted, and browser-extension configurations, tested against...
论文介绍 基于LLM的浏览器代理能自主浏览、推理并与网站交互，这对传统Web bot防御系统构成了新挑战。本文系统性地评估了交互式挑战防御和非交互式信任防御对两类攻击者的抵抗力：商业验证码破解服务和LLM浏览器代理。研究覆盖多种防御方案与攻击配置，旨在重新审视在LLM代理时代，现有Web bot管理系统的有效性。
第一作者: Xinting Liao · 方向: AI 安全
提示注入协同优化大语言模型安全攻击面分布式学习
Abstract:Textual Collaborative Prompt Optimization (TCPO) extends Textgrad (Yuksekgonul et al., 2025) to a decentralized setting by allowing multiple clients to jointly improve prompts for large language models (LLMs) while keeping their data locally. Its reliance on free-form textual updating and aggregation introduces a new and largely unexplored attack surface, i.e., malicious instructions can be injected into local prompts and propagated through server-side prompt aggregation. Unlike conventional prompt injection attacks, attacking TCPO targets the collaborative optimization loop in TCPO. This setting is more challenging because malicious instructions must survive aggregation, persist through subsequent benign prompt optimization, and evade server-side defenses. To expose this risk, we propose CPInj, a collaborative prompt injection attack that contaminates the aggregated global...
论文介绍 文本协同提示优化允许客户端协作改进LLM提示，但其自由的文本更新与聚合过程引入了新的攻击面。本文揭示了在此分布式设置下的提示注入风险，并提出CPInj攻击方法。该攻击能在本地提示中注入恶意指令，并使其在服务端聚合过程中存活、传播并持续影响后续的良性优化过程，从而暴露了协同优化框架的安全性缺陷。
第一作者: Muxi Lyu · 方向: 软件安全
跨站脚本XSS发现验证框架代理安全白盒测试
Abstract:Cross-Site Scripting (XSS) remains one of the most prevalent and damaging classes of web vulnerabilities. LLM-based coding agents offer a promising approach to XSS discovery by combining source-code reasoning with interactive testing against a running application. However, a coding agent's claims cannot be trusted on their own. We characterize three reward-hacking behaviors in white-box agentic XSS discovery and propose three requirements that an ideal verifier should meet. We present RECEIPT, a verification framework that makes agent-reported XSS findings trustworthy by enforcing environment isolation, PoC constraints, role separation, and verdict binding. Each confirmation therefore establishes two properties: the script runs in a real browser, and the payload was planted under the attacker role and executed in the victim role's browser. This constrained replay procedure...
论文介绍 LLM编程代理可用于自动化XSS漏洞发现，但其结论不可直接信任。本文分析了白盒代理XSS发现中的三种奖励欺骗行为，并提出RECEIPT验证框架。该框架通过强制环境隔离、概念验证约束、角色分离和结论绑定，确保每一个代理报告的XSS发现在受控重放中都得到可靠确认，从而建立攻击载荷植入与执行的因果关系，使发现结果可信。
第一作者: Lukas Fluri · 方向: 安全研究
密码分析基准测试大语言模型密码学能力评估
Abstract:Cryptanalysis - the task of finding attacks against cryptographic schemes - sits at the intersection of mathematical reasoning and cybersecurity, two areas where LLMs have advanced fastest. Cryptanalysis represents both a clean testbed for frontier reasoning (as practical attacks can be automatically verified) and a domain with unusually high stakes, since the primitives under study underpin our digital security. In this paper we ask whether LLMs can do cryptanalysis, and find that the answer is increasingly yes. We introduce CryptanalysisBench, 191 tasks across six families of cryptographic primitives (block ciphers, hash functions, etc.) drawn primarily from four NIST standardization competitions. Our benchmark consists of three tiers: (i) primitives with known practical breaks; (ii) primitives with no known practical break, evaluated both at full strength and as scaled-down...
论文介绍 密码分析结合了数学推理与网络安全，是评估LLM推理能力的理想领域。本文引入CryptanalysisBench基准，包含191个跨六类密码原语的任务，用于系统评估LLM的密码分析能力。该基准任务分为三层，涵盖存在已知攻击的原语、无已知攻击的原语及简化版本，为衡量LLM在这一高风险领域的推理能力提供了标准化测试平台。
第一作者: Shufan Chai · 方向: 软件安全
安全知识评估自动化测试大语言模型响应稳定性知识缺口
Abstract:Large language models (LLMs) are increasingly used for a range of software, hardware and human-centered security tasks. Consequently, LLM performance on security tasks is an active area of measurement and research, often with a focus on identifying areas in which LLM security ``knowledge'' may be insufficient. Popular strategies for identifying LLM security knowledge gaps include building corpora of challenge questions or task benchmarks, strategies that require substantial manual work and security expertise to design and execute. We introduce a partially-automated method for assessing LLM knowledge of a security this http URL method uses authoritative information from Consumer Protection Agencies (CPAs) to identify instability in LLM responses that can be indicative of knowledge gaps. We demonstrate the method for 2 security topics, identity theft and impostor scams, and 5...
论文介绍 评估LLM在安全任务上的“知识”水平通常依赖人工构建的挑战题库，耗费巨大。本文提出一种部分自动化的方法，利用来自消费者保护机构的权威信息，通过检测LLM在特定安全主题上响应的不稳定性来推断其潜在知识缺口。该方法旨在以更高效、可扩展的方式，识别LLM安全知识评估中的薄弱环节。
第一作者: Jie Li · 方向: AI 安全
高性能计算LLM代理安全凭证劫持提示注入代理劫持
Abstract:Large language model (LLM) agents are starting to take on routine work in high-performance computing (HPC), including monitoring Slurm jobs, diagnosing failed builds, inspecting simulation output, and coordinating scientific workflows. To do this work, an agent commonly acts under its user's credentials and inherits the user's access to files and the scheduler. This arrangement creates a failure mode that ordinary account-level controls do not capture. Adversarial instructions in a log, tool description, shared file, or peer-agent message may redirect the agent beyond the task the user assigned, even though every resulting command is authenticated and permitted for that account. We refer to this as the hijacked authorized agent problem. Existing agent-security studies explain relevant mechanisms, such as indirect prompt injection and tool misuse, but generally evaluate them in...
论文介绍 LLM代理在高性能计算环境中承担日常任务时，通常使用用户凭证并继承其访问权限。这种模式催生了“被劫持的授权代理”问题：来自日志、工具描述或共享文件的对抗性指令可能使代理偏离用户任务，而所有操作却都是经过认证且被允许的。本文针对此问题构建基准，评估HPC场景下LLM代理的安全边界。
第一作者: Sarunyu Thongjarast · 方向: 软件安全
二进制词循环可等化汉明重量卡片密码学序列混淆
Abstract:The random cut is one of the most fundamental shuffles in card-based cryptography: it rotates a sequence of face-down cards by a secret amount. Under this shuffle, two sequences of cards are indistinguishable if and only if they are cyclic shifts of each other. This motivates the question of whether, given two sequences of cards, inserting cards at matching positions can make them indistinguishable. A previous study shows that such an insertion is always possible when any cards may be inserted, as long as the two words are permutations of each other. This paper considers a stronger restriction: if the cards are binary, carrying only 0 or 1, can we insert only 0s to make the sequences indistinguishable? We call two words 0-cyclically equalizable if one can insert 0s into both sequences at matching positions so that the resulting words are cyclic shifts of each other. Our main...
论文介绍 该研究探讨在卡片密码学中，给定两个二进制序列（仅含0或1），是否可通过在匹配位置插入0使它们成为循环移位后不可区分，称为0-循环可等化。核心方法基于汉明重量特征化这一性质。这有助于理解序列混淆的边界，可能应用于隐私保护场景中的信息隐藏。
第一作者: Chengheng Li-Chen · 方向: AI 安全
LLM水印封闭形式校准马尔可夫链SHA-256鲁棒性
Abstract:Regulatory regimes such as the EU AI Act mandate machine-readable marking of synthetic text, but existing watermark detectors rely on the generating LM and on heuristic thresholds with no closed-form calibration. We introduce ChainMark, an active watermark that partitions the vocabulary into S states via keyed SHA-256 and forces a hard Markov transition on a fraction rho of positions; the detector replays the partition from the same key in O(n) hash operations, with no LM access. We derive a closed-form S*(n, rho, alpha) mapping a target FPR, text length, and budget to the minimum state count (Theorem 1), prove a universal robustness threshold delta* = 1 - 1/sqrt(2) approximately 29.3% that is invariant in (S, rho, n) (Theorem 2), and generalise both to any k-regular transition topology (Theorem 3). Across three instruction-tuned LLMs and four domains, ChainMark strictly...
论文介绍 现有大语言模型水印检测依赖生成模型和启发式阈值，缺乏封闭形式校准。ChainMark提出一种无模型方法，通过密钥SHA-256将词汇表分区为状态，并在部分位置强制马尔可夫转移。检测器无需访问模型，即可重现分区。该方法推导了封闭形式映射和通用鲁棒性阈值，适用于法规合规和生成文本检测。
第一作者: Tanveer Ahmed · 方向: AI 安全
钓鱼邮件检测对抗鲁棒性TF-IDF逻辑回归DistilBERT
Abstract:Phishing emails remain one of the most persistent cybersecurity threats, and machine-learning classifiers are widely used to detect them. Most reported detection accuracies, however, are measured on clean, in-distribution test data rather than on emails deliberately altered to evade detection. This paper reports a controlled, pairwise comparison of two phishing-detection approaches a TF-IDF + Logistic Regression baseline and a fine-tuned DistilBERT transformer trained on a unified corpus of 82,255 emails drawn from six public datasets and evaluated under three conditions: normal in-distribution, synthetic phishing, and adversarial phishing. Both models exceeded 98% accuracy on clean data yet degraded sharply under adversarial testing: TF-IDF + LR fell to 64.00% (a 34.59-percentage-point drop) and DistilBERT fell to 63.64% (a 35.40-percentage-point drop) a gap of only 0.36...
论文介绍 钓鱼邮件检测在对抗攻击下的鲁棒性尚未充分研究。本文比较了TF-IDF加逻辑回归和微调DistilBERT在正常、合成及对抗条件下的性能。两者在干净数据上准确率超过98%，但在对抗测试下均大幅下降，凸显了检测系统对规避攻击的脆弱性，对提升网络安全有实际意义。
第一作者: Patrik Reizinger · 方向: AI 安全
LLM引用验证幻觉基准假阳性率诊断
Abstract:Large language models (LLMs) now routinely draft literature reviews and assist with academic writing, which means a higher risk of fabricated references: GPTZero found 53 papers with hallucinated citations among NeurIPS 2025's accepted set. Rule- and LLM-based verifiers are emerging, but no shared benchmark compares them and gives detailed failure diagnostics. We close that gap with HALLMARK (Hallucination benchmark): 2,526 BibTeX entries spanning 14 hallucination types, three difficulty tiers, six diagnostic sub-tests per entry, and a contamination-resistant held-out split. On it we evaluate a DOI-lookup baseline, frontier LLMs zero-shot, tool-augmented agents, and our own rule-based, co-designed verifier bibtex-updater. Across the benchmark one result is consistent: the false-positive rate, not recall, decides whether a verifier is deployable. HALLMARK makes it concrete...
论文介绍 大语言模型生成的文献引用可能存在幻觉，现有验证器缺乏统一基准和故障诊断。HALLMARK提供了包含多种幻觉类型的基准，评估了查找、零样本LLM和规则验证器等方法。研究发现假阳性率而非召回率决定验证器的可部署性，这有助于改进学术工具可靠性。
第一作者: Sahaj Majavdia · 方向: 密码学协议
神经网络剪枝同态加密敏感性感知多项式激活可靠性
Abstract:Structured pruning is essential for making neural network inference feasible under homomorphic encryption (HE), yet its impact on model reliability has remained unexplored. This paper presents a systematic reliability characterization of pruned CKKS-encrypted neural networks and introduces Polynomial-Sensitivity-Aware Pruning (PSAP), a structured pruning method that is inherently reliability-aware. PSAP scores filters jointly by weight magnitude, polynomial activation sensitivity, and rotation cost, which concentrates pruning in fault-tolerant regions. Across two architectures, two datasets, two numerical representations, and five bit-error rates (40 full-model and 108 per-layer experiments), PSAP-pruned models limit catastrophic (>10 pp accuracy drop) layers to at most two versus 5--14 for magnitude-pruned baselines, reducing worst-case vulnerability by up to 29 times under...
论文介绍 在同态加密下进行神经网络推理时，结构化剪枝对模型可靠性的影响未被充分探索。PRISM提出敏感性感知的多项式剪枝方法，联合考虑权重大小、激活敏感性和旋转成本。实验显示，该方法限制了灾难性精度下降的层数，显著提升了在加密环境中的可靠性，适用于隐私保护机器学习。
第一作者: Taebong Kim · 方向: 系统安全
量子密码分析Simon算法Even-Mansour密码IBM量子硬件周期恢复
Abstract:We report genuine-un-compiled, textbook-faithful-quantum cryptanalysis of symmetric-cipher structures executed on real IBM quantum hardware (ibm\_kingston, Heron generation). Using Simon's algorithm we recover the hidden period of the Even-Mansour cipher up to security parameter N = 10 on real hardware, beyond the largest previously reported real-hardware key recovery of N = 4, and we cleanly recover the periods of a 3-round Feistel (DES-family) construction at block sizes 6 and 8; a 21-qubit block-10 instance is verified in simulation and submitted to hardware. We further provide a breadth-first benchmark of five genuine quantum attacks spanning four symmetric-cipher design paradigms -- Bernstein-Vazirani (linear structure, single query), Grover (SPN key search, quadratic), and Simon (Even-Mansour, CBC-MAC forgery, and Feistel; exponential-to-polynomial in query complexity)...
论文介绍 本文在真实IBM量子硬件上执行量子密码分析，使用Simon算法恢复Even-Mansour密码的隐藏周期，安全参数N扩展到10，超越先前硬件报告的N=4。同时验证了3轮Feistel结构的周期恢复。这展示了量子计算对对称密码的实际威胁，为评估量子安全性提供了实验基础。
第一作者: Hanrui Wang · 方向: AI 安全
对抗鲁棒性共享漏洞对抗训练转移攻击PGDTransfer
Abstract:Adversarial robustness optimization aims to preserve correct prediction under adversarial perturbations, and has produced substantial robustness gains through methods such as adversarial training and adversarial purification. However, we identify a new security risk: these gains can create shared vulnerabilities across defenses. Once one representative robustness-optimized defense is effectively breached, the broader family may become exposed. Studying this risk requires separating genuine transferability from distortion-induced degradation and from the algorithmic gains of sophisticated attacks. We therefore introduce stricter transfer-only protocols and a deliberately simple adaptive attack, PGDTransfer, to test whether robustness-optimized defenses share transfer-only vulnerability under controlled conditions. We further introduce Adversarial Sensitivity Maps (AdvSMs) to...
论文介绍 鲁棒性优化防御（如对抗训练）可能创建共享漏洞，一旦一个防御被突破，整个家族可能暴露。本文引入严格的转移协议和简单自适应攻击PGDTransfer来测试这一风险，并使用对抗敏感性图分析。这揭示了对抗防御的新安全挑战，对设计更稳健的系统有指导意义。
第一作者: Lena Libon · 方向: 系统安全
AI控制自动化研发潜伏破坏监控ResearchArena
Abstract:As AI agents begin to automate AI R&D, we need ways to assess whether their outputs are safe to deploy, even when the agents themselves may be untrusted. AI control offers one such approach: rather than trusting the agent, it treats it as a potential adversary and uses a monitor to detect covert sabotage before deployment. We evaluate AI control for automated AI R&D with ResearchArena, a framework spanning four long-horizon tasks: safety post-training, capabilities post-training, CUDA-kernel optimization, and inference-server optimization. Because the deliverable in AI R&D is an artifact that will be deployed and run, we pair each main task with two kinds of hidden side task: an embedded side task that sabotages the submitted model, adapter, kernel, or server itself, and an independent side task that takes a covert out-of-scope action in the sandbox while leaving the artifact...
论文介绍 随着AI代理自动化AI研发，需评估其输出安全性，即使代理不可信。AI控制使用监控器检测潜伏破坏。ResearchArena框架包含安全后训练、CUDA优化等任务，以及嵌入和独立侧任务来模拟破坏。该评估方法有助于确保AI生成内容在部署前的安全，推动可信AI研发。
第一作者: Ahmed Azaz Humdoon · 方向: AI 安全
变分量子特征求解器对抗鲁棒性红队测试量子安全云计算安全
Abstract:The Variational Quantum Eigensolver (VQE) is a leading algorithm for estimating molecular ground-state energies on near-term quantum hardware, with applications spanning quantum chemistry, materials science, and drug discovery. As VQE workloads are increasingly deployed through cloud-based ``VQE-as-a-service'' pipelines, they become exposed to adversaries such as compromised service components, malicious co-tenants, or insiders in the transpilation stack, any of which can corrupt results before they reach the user. A range of attacks on variational quantum circuits has been proposed, but each has been studied in isolation: some on quantum classifiers with accuracy-based metrics, others on variational quantum algorithms with energy-error metrics. This lack of a common evaluation setup makes their relative severity difficult to compare and leaves the security of VQE poorly...
论文介绍 该论文系统化研究了变分量子特征求解器（VQE）在对抗性环境下的鲁棒性。随着VQE通过云服务部署，面临服务组件被入侵、恶意共租户等安全威胁。论文通过红队测试方法，对比分析不同攻击对VQE性能的影响，旨在建立统一的评估框架，以改善量子计算服务的安全性。
第一作者: Simone Milani · 方向: 软件安全
持续学习步态识别码分调制层灾难性遗忘成员推理攻击
Abstract:Continual learning (CL) has been recently employed in biometric identification systems thanks to its ability to integrate new knowledge within a pre-trained model and to the possibility of reducing the computational cost of training. Unfortunately, such approaches pose new challenges both in terms of final accuracy and privacy guarantees since a progressive fine-tuning of the model on small subsets expose them to catastrophic forgetting and successful inference attacks. This paper evaluates the efficiency of code division modulation layers (CDML) on a gait identification system which has been trained following a continual learning policy. The proposed approach preserves accuracy on all the tasks while mitigating membership inference attacks at the same time. Moreover, the impact of retransmission is minimized since replaying data is not necessary.
论文介绍 本文研究持续学习在步态识别系统中的应用，以解决灾难性遗忘和成员推理攻击问题。通过引入码分调制层（CDML），该方法能在保持任务准确性的同时，减少隐私泄露风险，并避免数据重放的需要。这为生物识别系统的持续更新提供了更安全的方案。
第一作者: Arther Tian · 方向: 网络安全
SFGA监督微调数据采购统计门控架构数据质量评估成本优化
Abstract:Procuring supervised fine-tuning (SFT) data forces a buyer to decide, before any downstream training, whether a candidate corpus is worth acquiring. We present \sys{}, a statistics-first gating architecture that treats procurement as a cost-aware routing problem over three intrinsic quality axes -- diversity, utility, and redundancy. Cheap blind measurements are summarised into per-axis estimates with confidence intervals; a gate accepts a decision only when intervals are tight, sample sizes are adequate, and the axes agree, otherwise it escalates the case to an adjudicative debate between a buy-advocate and a reject-advocate judge, resolved by a presiding verdict. On a controlled benchmark of 12 datasets ($2{\times}3{\times}2$ grid over the three axes) with 5 seeds, the gate reaches 0.90 accuracy and 0.83 $F_1$ at \$0.017 per unit, sitting between an always-verify baseline...
论文介绍 论文提出SFGA架构，用于可信的监督微调数据采购。该方法将采购视为成本感知路由问题，通过统计评估数据多样性、实用性和冗余性三个维度，设置门控机制进行决策。当评估不确定时，采用裁决辩论流程。实验显示，SFGA在准确性和成本效率上表现良好。
第一作者: Chenglin Fan · 方向: 隐私保护
图谱和割差分隐私谱放大器私有图合成近似算法
Abstract:We study the problem of releasing a synthetic graph that approximates the sizes of all cuts of an input graph under edge-level differential privacy. If one insists on purely additive error, the optimal worst-case error is $\widetilde\Theta(n^{3/2})$. If one allows a small multiplicative slack, an information-theoretic exponential-time mechanism achieves nearly linear additive error, but the best known polynomial-time algorithms have substantially larger error. We give a polynomial-time $(\varepsilon,\delta)$-differentially private algorithm which, for every $n$-vertex unweighted graph $G$, outputs a non-negative weighted synthetic graph $\widetilde G$ such that, with high probability, every cut $S\subseteq V(G)$ satisfies \[ |w_G(S)-w_{\widetilde G}(S)| \le \gamma w_G(S)+\widetilde O_{\varepsilon,\delta,\gamma}(n^{13/12+o(1)}). \] This improves the previous polynomial-time...
论文介绍 本文研究在边级差分隐私约束下，发布合成图以近似原图割大小的问题。提出一种基于谱放大器的多项式时间差分隐私算法，能在保证隐私的同时，实现较好的近似误差。该方法改进了现有算法，适用于隐私敏感的图数据发布场景。
第一作者: Shaswata Mitra · 方向: 安全研究
小语言模型微调网络安全问答诊断框架FiT
Abstract:Large Language Models (LLMs) are increasingly fine-tuned for critical-domain Question-Answering (QA), yet choosing which small model to adapt, before paying the cost of adaptation, remains difficult. Fine-tuning can improve domain alignment, but it may also erode prior knowledge, weaken instruction-following, or increase hallucination, especially when labeled data are scarce or rapidly evolving as in cybersecurity. We present FiT (Find before Fine-Tune), a task-oriented diagnostic framework that characterizes small LLMs along three capabilities required for cybersecurity QA: vocabulary recognition, parametric knowledge, and contextualization of retrieved information. Using FiT, we conduct an empirical study of five open-weight 7-billion-parameter models under two fine-tuning regimes. We find that fine-tuning does not uniformly help: it consistently degrades vocabulary and...
论文介绍 论文提出FiT诊断框架，用于评估小语言模型在网络安全问答任务中的适用性。该框架从词汇识别、参数知识和信息上下文化三个能力维度进行诊断，帮助在微调前选择合适模型。研究发现微调并非总是有益，可能损害模型某些能力。
第一作者: Pankaj Kumar · 方向: AI 安全
图基础模型共享表示对齐层推理时攻击谱分词器
Abstract:A graph foundation model generalizes across graph domains by mapping every input into one shared representation before any task reasoning. We call this map the alignment layer, the component that separates a graph foundation model from a graph neural network, and we show it is a distinct attack surface that prior work has not studied. We attack it at inference time, with no access to training, on six public models spanning spectral tokenizers, text embedding spaces, and a discrete codebook. A directed representation-space perturbation collapses every model, but at a budget comparable to the representation norm a plain graph network also needs, with one exception: OpenGraph, whose spectral tokenizer collapses at a fifth of that budget, an alignment-specific fragility a plain network does not share and which a same-representation control traces to the tokenizer rather than the...
论文介绍 本文研究图基础模型通过共享表示（对齐层）进行攻击的方法。在推理时对六个公共模型的表示空间进行扰动攻击，发现所有模型均可被崩溃。特别是OpenGraph的谱分词器表现出对齐层特有脆弱性，表明共享表示是新的攻击面。
第一作者: Malik Imran · 方向: 密码学协议
数论变换后量子密码学内存并行化加速器流水线优化
Abstract:The iterative forward and inverse number theoretic transform (NTT) is a key component in lattice-based post-quantum cryptography (PQC), typically implemented using Cooley-Tukey and Gentleman-Sande butterfly units. Existing iterative NTT accelerators often rely on ping-pong memory schemes and large memory blocks tied to the cyclotomic ring, which limits overall efficiency. To overcome this, we propose a memory-parallelization strategy using four smaller n/4-sized memories for ring size n, preserving the total memory footprint of conventional designs. We also introduce a multiplication-free rescaling architecture for the inverse NTT. Building on these innovations, we perform a comprehensive hardware-based design space exploration of unified Cooley-Tukey and Gentleman-Sande butterfly units, evaluating both coarse- and fine-grained pipelining strategies. The resulting optimized...
论文介绍 论文提出PIP-NTT加速器，用于后量子密码学中的迭代数论变换（NTT）。通过内存并行化策略和免乘缩放架构，优化了Cooley-Tukey和Gentleman-Sande蝶形单元的实现，提高了硬件效率和可扩展性，适用于高性能密码学系统。
第一作者: Dimitrios S. Sfiris · 方向: 密码学协议
代理商业可信架构决策中心参考架构电子商务安全
Abstract:Agentic commerce extends agentic shopping into software agents that interpret policy, prepare checkout, generate transaction-facing language, and act under delegated payment authority. Protocols standardize external exchanges, but merchants still need one authoritative representation of commercial eligibility, actor authority, checkout validity, payment dispatch, generated claims, and evidence. This design-science study presents a protocol-agnostic architecture built around a canonical envelope, protected dependency and result hashes, Ed25519 or HMAC authentication, live-request rebinding, a seven-axis generated-claim gate, execution-time dependency revalidation, and eleven semantic invariants. Evaluation used an open-source JavaScript implementation, eight deterministic ecommerce scenarios, and five controlled ablations. Seven initially valid actions were permitted. After...
论文介绍 本文提出一个决策中心参考架构，用于可信的代理商业。该架构协议无关，基于规范信封、哈希保护、Ed25519认证等机制，确保商业资格、交易有效性和证据完整性。评估显示该架构能支持确定性电子商务场景。
第一作者: Jason Stanley · 方向: 导航与运动 · 来源: cs.RO
有符号距离函数(SDF)八叉树残差网络(OREN)距离加速运动规划无人机实时地图构建
Abstract:Autonomous flight in cluttered environments requires a robot to build a geometric map of its surroundings and plan safe, dynamically feasible trajectories, all onboard and in real time. Conventional approaches treat mapping and planning as separate stages and often rely on binary occupancy for collision checking. We argue that these two stages should be co-designed around a single representation: a signed distance function (SDF). By encoding distance to the nearest obstacle, an SDF provides richer information for planning and trajectory optimization than occupancy alone. We develop an Octree REsidual Network (OREN) that pairs an explicit octree prior with an implicit neural residual to reconstruct SDFs online from point cloud observations with the efficiency of volumetric methods and the accuracy and differentiability of neural methods. In tandem, we develop Bubble$^\star$, a...
论文介绍 研究问题：无人机在杂乱环境中自主飞行需要实时构建几何地图并规划安全轨迹，传统方法将地图构建与路径规划分离。核心方法：提出基于有符号距离函数(SDF)的统一表示，开发八叉树残差网络(OREN)在线从点云重建SDF，结合Bubble^*算法进行距离加速运动规划。意义：提升导航效率与准确性，适用于实时无人机应用。
第一作者: Zicong Wu · 方向: 导航与运动 · 来源: cs.RO
翻转生长机器人脊髓蛛网膜下腔内窥镜成像微创手术摩擦最小化
Abstract:Safe navigation within the spinal subarachnoid space is constrained by its narrow, compliant, and delicate anatomy. Conventional catheters and continuum robots rely on proximal pushing, generating friction and shear along the tissue device interface that limit distal controllability and increase the risk of neural injury. Here, we present a 2 mm diameter eversion-growing robotic platform that enables friction minimised extension and steering within the human spinal subarachnoid space, validated through computational modelling, phantom experiments, and intact human cadaver studies. The robot integrates a miniature endoscope for real time intrathecal visualisation and advances by pressure driven tip eversion, localising motion to the distal tip while minimising translational sliding of the deployed body. Phantom experiments demonstrated reductions of 65.2% in mean interaction...
论文介绍 研究问题：脊髓蛛网膜下腔狭窄柔顺，传统导管易致神经损伤。核心方法：开发直径2毫米的翻转生长机器人平台，通过压力驱动尖端翻转实现延伸和转向，集成微型内窥镜进行实时可视化。意义：减少组织摩擦与损伤，为脊髓手术和诊断提供安全工具。
第一作者: Guanxiong Chen · 方向: 具身智能 · 来源: cs.RO
真实到模拟转换视觉-语言代理物理世界建模机器人交互自动化
Abstract:Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual reconstruction: a streamlined real2sim process must recover scene geometries and object states, infer physical parameters, and assemble actors, objects, cameras, poses, and trajectories into a runnable physical simulation. Today this process still depends on manual tuning of visual foundation models, mesh cleanup, coordinate-frame alignment, and brittle workflow glue across visual perception tools and simulators. We introduce \textit{Agentic Real2Sim}, a framework for generalized physical world modeling with vision-language agents, converting a real-world recording of object-robot interaction into a simulatable episodic twin which preserves observations, geometries, robot interactions, and object states. We evaluate Agentic Real2Sim on rigid-object...
论文介绍 研究问题：机器人与物体交互的真实到模拟转换过程劳动密集，依赖手动调整。核心方法：提出Agentic Real2Sim框架，利用视觉-语言代理将真实记录自动转换为可模拟副本，保留几何与交互状态。意义：简化物理世界建模，支持机器人学习与仿真。
第一作者: Shing-Hei Ho · 方向: 具身智能 · 来源: cs.RO
贝叶斯优化组织附着映射手术解剖机器人辅助手术序贯贝叶斯希尔伯特地图
Abstract:With growing surgeon shortages, automating surgical sub-tasks such as tissue dissection offers a promising step toward reducing workload and expanding patient access. Prior work has relied on hand-crafted incision policies that cannot quantify uncertainty or has relied on simulation-based methods that require strong modeling assumptions. We instead view tissue attachment identification as an inherently probabilistic problem and propose a Bayesian approach that avoids explicit tissue modeling. Our method uses a Sequential Bayesian Hilbert Map (SBHM) to represent the likelihood that each tissue point is attached to the underlying resection surface. An ensemble of learned classifiers predicts attachment likelihoods from spatial data acquired during robotic tissue retraction, with each classifier serving as a noisy information source to update the SBHM. To plan the next...
论文介绍 研究问题：手术自动化中组织附着识别需量化不确定性，传统方法依赖手工规则或强假设。核心方法：采用贝叶斯方法，使用序贯贝叶斯希尔伯特地图(SBHM)从机器人回缩数据中推断附着可能性。意义：减少手术工作量，提高解剖安全性。
第一作者: Léonie Plancoulaine · 方向: 机器人操作 · 来源: cs.RO
欠驱动手被动旋转手指抓取稳定性差分机制机器人操作
Abstract:This paper presents an innovative design and stability analysis of an underactuated robotic finger with spatial mobility, designed to enhance gripping dexterity in robotic hands. The finger architecture incorporates a revolute joint at its base, enabling passive spatial rotation that facilitates both cylindrical and spherical grasping. With only two phalanges per finger, the design simplifies kinematic complexity while supporting precision and enveloping grasps. Stability criteria, based on the moment at the finger base joint induced by contact forces, are introduced to ensure reliable object gripping and prevent ejection during manipulation. The study also examines a differential mechanism that distributes a single actuation torque across multiple fingers, allowing adaptive and coordinated motion. This mechanism enhances the hand's ability to grasp diverse object shapes with...
论文介绍 研究问题：提高机器人手抓取灵巧性以适应多样物体。核心方法：设计带被动旋转关节的欠驱动手指，简化运动学，引入稳定性准则，并通过差分机制分配扭矩。意义：增强抓取多样性和可靠性，适用于复杂操作任务。
第一作者: Luc Baron · 方向: 具身智能 · 来源: cs.RO
扭转分解串联机器人低移动性任务逆运动学任务冗余
Abstract:This paper introduces a twist decomposition framework for serial manipulators performing lower mobility tasks. Rather than relying on Jacobian null-space projections, the method separates the end-effector twist into task and redundant components using geometrically defined twist projectors. This formulation provides a direct and intuitive distinction between task-relevant and task-irrelevant motions in operational space, enabling a compact inverse kinematics scheme that naturally handles both manipulator and task redundancy.
论文介绍 研究问题：串联机器人在低移动性任务中的运动控制需区分任务相关与冗余运动。核心方法：提出扭转分解框架，使用几何投影器将末端执行器扭转分解为任务和冗余分量。意义：简化逆运动学计算，自然处理任务与操纵器冗余。
第一作者: Haisheng Su · 方向: 机器人操作 · 来源: cs.RO
世界动作模型推理增强记忆机器人操作可控建模时间上下文
Abstract:World Action Models (WAMs) offer a promising paradigm for robotic manipulation by jointly modeling visual state transitions and robot actions. However, existing WAMs are constrained by limited temporal context, coarse episode-level language supervision, and predominantly text-only conditioning, which hinder task-progress tracking and fine-grained language-video-action grounding while limiting visual-context reasoning and cross-embodiment transfer. In this paper, we introduce WorldScape Policy 2.0, a controllable WAM with reasoning-augmented long short-term memory. Its causal short-term visual memory supplies recent observations as DiT prefill to preserve local interaction dynamics, while its long short-term event memory organizes historical VLM outputs into global-history, local-active, and event-boundary representations for progress-aware retrieval. The retrieved history...
论文介绍 研究问题：现有世界动作模型受限于时间上下文和语言条件，影响任务跟踪与跨具身转移。核心方法：引入WorldScape Policy 2.0，具有推理增强的长短时记忆，改进视觉-语言-动作对齐与进度感知。意义：提升机器人操作的可控性与泛化能力。
第一作者: Stéphane Caron · 方向: 导航与运动 · 来源: cs.RO
Koopman特征函数发散运动分量(DCM)足式平衡数据驱动模型预测控制
Abstract:In legged locomotion, divergent components of motion (DCMs) have emerged as characteristic states for balance control. They isolate the unstable mode of the dynamics but, in existing formulations, apply only to reduced models such as the linear inverted pendulum. In this study, we show how DCMs can be more generally formulated as Koopman eigenfunctions. Whereas Koopman analysis typically targets eigenvalues near zero, which capture conserved or slowly varying quantities, our investigation leads us to deliberately search for unstable eigenpairs with large eigenvalues. The resulting Koopman DCMs are data-driven observables trained using only real-robot data. On a real biped, DCMs learned from one hour of robot data improve tracking of reference walking patterns. We further show how learned DCMs provide state-based viability constraints when combined with model predictive control.
论文介绍 研究问题：足式机器人平衡控制中，发散运动分量(DCM)传统上仅适用于简化模型。核心方法：将DCM公式化为Koopman特征函数，使用真实机器人数据训练，作为数据驱动表示。意义：改进步行模式跟踪，结合模型预测控制提供状态约束。
第一作者: Radovan Gregor · 方向: 具身智能 · 来源: cs.RO
自组织映射运动原语相位识别类人机器人镜像神经元系统
Abstract:Understanding the computational basis of action recognition is a central challenge in social cognition as well as in human-robot interaction. Inspired by the Mirror Neuron System (MNS), we propose a two-level architecture for motor primitive discovery and online phase recognition applied to the NICO humanoid robot. At the first level, two Self-Organising Maps (SOMs) learn topographic representations of arm kinematics (A-SOM) and hand kinematics (H-SOM) from simulated trials covering seven motor actions. The maps are trained on non-redundant features identified through hierarchical correlation analysis of motion trajectories. The results show that the two SOMs encode complementary aspects of motor behaviour. At the second level, an Echo State Network (ESN) evaluates whether temporal trajectories of SOM activations, represented by consecutive best-matching units, are sufficient...
论文介绍 该研究针对动作识别的计算基础问题，受镜像神经元系统启发，提出一个两层架构用于类人机器人的运动原语发现和在线相位识别。第一层使用自组织映射学习臂部和手部运动学的地形表示，第二层用回声状态网络评估时间轨迹，以识别运动相位。这有助于提升社交认知和人机交互中的动作理解能力。
第一作者: Jiaheng Dong · 方向: 具身智能 · 来源: cs.RO
行为树信号时序逻辑正确构造综合机器人任务定时约束
Abstract:Behavior Trees (BTs) are widely adopted for complex task execution in robotics, providing modular, reactive control but lacking formal guarantees. However, existing correct-by-construction synthesis from Linear Temporal Logic (LTL) cannot express quantitative timing constraints. This letter synthesizes correct-by-construction BTs from Signal Temporal Logic (STL) specifications. The workspace is modeled as a timed transition system and abstracted into a zone graph, and an augmented state space tracking both logical progress and timing constraints is introduced. A hierarchical fixed-point algorithm computes winning sets for an STL fragment encompassing safety, reachability, response, recurrence, and persistence, yielding BT subtrees with a runtime constraint function. Correctness guarantees are proven and complexity bounds are derived. Simulations demonstrate specification...
论文介绍 本文解决行为树在复杂任务执行中缺乏形式化保证的问题。提出从信号时序逻辑规范综合正确构造的行为树，将工作空间建模为定时转换系统，并引入增强状态空间来跟踪逻辑进度和时间约束。通过层次化固定点算法计算获胜集，生成带有运行时约束函数的行为子树，确保规范满足，为机器人任务提供可验证的控制策略。
第一作者: Ziqin Wang · 方向: 机器人操作 · 来源: cs.RO
中间表示机器人操作具身世界建模数据集基准
Abstract:Existing robot datasets remain expensive to curate, embodiment-specific, and insufficiently annotated with the fine-grained structure required for generalizable reasoning, execution, or long-horizon environment dynamics simulation. Building on our prior work, RoboInter1.0, we present RoboInter1.5, an extended and holistic suite of intermediate representations for both robotic manipulation and embodied world modeling. RoboInter1.5 provides a unified resource of data, benchmarks, and models centered on dense manipulation-oriented intermediate representations. Specifically, RoboInter-Data contains over 230k manipulation episodes across 571 scenes with dense per-frame annotations covering more than ten types of intermediate representations, including subtasks, primitive skills, object and gripper grounding, segmentation, affordance, grasp poses, contact points, motion traces, etc...
论文介绍 针对现有机器人数据集成本高、具身特定且注释不足的问题，本文提出RoboInter1.5，一个用于机器人操作和具身世界建模的整体中间表示套件。它提供超过23万次操作序列的数据集，覆盖571个场景，带有密集的每帧注释，包括子任务、原语技能等多种中间表示。这有助于提升机器人任务的泛化推理和长期模拟。
第一作者: Md Rakibul Islam Prince · 方向: 导航与运动 · 来源: cs.RO
触觉传感器视觉反馈微创手术光弹性成像双模态
Abstract:Robot-assisted minimally invasive surgery (RMIS) offers major benefits over open and conventional laparoscopic procedures, yet it still lacks tactile feedback for palpation while operating under strict requirements to preserve reliable vision for navigation and safety. In practice, visual feedback is indispensable, and tactile solutions that cannot coexist with vision are difficult to translate into RMIS tools. To address both needs, we introduce MVP-Tac, a compact, vision-based tactile sensor that provides co-located vision and tactile sensing. MVP-Tac uses reflective photoelastic imaging: a thin photoelastic elastomer produces stress-dependent interferograms under contact that are captured by an embedded camera through a miniaturized reflective polariscope. A semi-transparent membrane and controllable illumination enable switching between visual mode and tactile mode...
论文介绍 针对机器人辅助微创手术中触觉反馈缺失且视觉与触觉难以兼容的问题，本文提出MVP-Tac，一种微型化的双模态视觉和光弹性触觉传感器。该传感器利用反射光弹性成像，在接触时产生应力相关干涉图，并通过嵌入式相机捕获。它支持在视觉模式和触觉模式之间切换，从而在保持可靠视觉导航的同时提供触觉感知，增强手术操作的安全性和精确性。
第一作者: Chendong Liu · 方向: 具身智能 · 来源: cs.RO
气动人工肌肉抽绳原理织物结构紧凑性高负载能力
Abstract:Pneumatic artificial muscles have wide applications in robotics and industrial fields. Conventional pneumatic artificial muscles generate extra radial deformation during axial contraction, which severely wastes available working space. Inspired by the widely adopted drawstring principle in textile products, this paper proposes a novel drawstring fabric pneumatic artificial muscle (DPAM). Unlike traditional counterparts, the proposed DPAM produces no extra radial deformation during contraction, greatly improving structural compactness. The DPAM exhibits outstanding mechanical performance: a load capacity over 800 times its self-weight, a maximum contraction ratio of 44%, and a power density up to 4.98 kW/kg, alongside excellent scalability. Two representative application scenarios, bionic robots and industrial production lines, are demonstrated to validate its practicability...
论文介绍 本文针对传统气动人工肌肉在收缩时产生额外径向变形、浪费工作空间的问题，受纺织品抽绳原理启发，提出一种新型抽绳织物气动人工肌肉（DPAM）。DPAM在收缩过程中无额外径向变形，显著提升结构紧凑性。它展现出优异的机械性能：负载能力超过自重800倍，最大收缩比44%，功率密度达4.98 kW/kg，并在仿生机器人和工业生产线中展示了实用性。
第一作者: Jixian Liu · 方向: 具身智能 · 来源: cs.RO
可达性分析采样方法几何特性动力学样本复杂性
Abstract:Reachability analysis is central to safety-critical control, robotics, and neural network verification, but classical computational methods, such as Hamilton--Jacobi reachability and set propagation, scale poorly with state dimension. Sampling-based methods have emerged as a promising alternative, often providing finite-sample guarantees that bound the probability-mass left uncovered. However, an explicit account of how the geometry of the initial set, the dynamics, and the sampling law affect the accuracy of the estimator is not fully available in the literature. We study this by casting sampling-based reachable-set recovery as geometric support estimation over a family of problems specified by an initial set, its dynamics, and a sampling law. First, we identify two regularity properties, positive reach of the initial set's complement and Lipschitz continuity of the dynamics...
论文介绍 可达性分析在安全关键控制、机器人等领域至关重要，但经典计算方法在状态维度高时扩展性差。基于采样的方法提供了一种有前景的替代方案，但现有文献对几何、动力学和采样律如何影响估计器准确性缺乏明确分析。本文通过将基于采样的可达集恢复问题转化为几何支撑估计问题，研究了初始集的正可达性和动力学的Lipschitz连续性等性质，为理解采样方法的局限性提供了理论基础。
第一作者: Kasra Torshizi · 方向: VLA 通用模型 · 来源: cs.RO
信号时序逻辑视觉语言动作模型层次化框架精确规范动作生成
Abstract:Vision-language-action (VLA) models have shown impressive generalization, but often lack interpretability and can struggle to follow precise natural language instructions that encode spatial, temporal, and logical requirements. We propose a hierarchical framework that uses Signal Temporal Logic (STL) as a shared representation connecting high-level language understanding with low-level robot execution. A high-level policy leverages a VLM to decompose language instructions into high-level subtasks, generate STL specifications for each subtask, and choose a low-level policy for executing each subtask. The STL specifications translate language-derived intent into precise constraints, and the low-level policy selection determines whether those constraints are enforced directly through STL-guided model-predictive control or monitored during execution of a learned policy for...
论文介绍 视觉语言动作模型在泛化方面表现出色，但往往缺乏可解释性，难以遵循编码空间、时间和逻辑要求的精确自然语言指令。本文提出一个层次化框架，利用信号时序逻辑（STL）作为连接高级语言理解和低级机器人执行的共享表示。高级策略利用视觉语言模型将语言指令分解为子任务，生成STL规范，并选择低级策略执行，从而提升动作生成的精确性和可验证性。
第一作者: Vikram Shree · 方向: 具身智能 · 来源: cs.RO
激光雷达标定线扫描旋转平台外部标定点云重建
Abstract:A line-scanning lidar yields range and azimuth values in a fixed plane. To perceive surrounding objects in 3D, there must be relative motion between the lidar plane and the object. Thus, using a rotating base-platform is promising for industrial applications where objects need to be scanned or inspected precisely, and is the main focus of this work. In the rotary platform setup, a 3D point cloud of an object can be constructed if the axis of rotation and the precise motion about that axis are known. However, this setup gives rise to the following problem: how can the axis of rotation of the platform be accurately identified with respect to the lidar coordinate system? It is referred to as the calibration problem in the robotics community. Any inaccuracy in this transformation directly affects the quality of the reconstructed point cloud, leading to misrepresentation of the...
论文介绍 线扫描激光雷达在固定平面内提供距离和方位值，为了感知周围物体的3D信息，需要激光雷达平面与物体之间的相对运动。本文针对旋转平台设置，研究如何准确识别平台旋转轴相对于激光雷达坐标系的标定问题。提出两阶段外部标定方法，以精确重建物体的3D点云。标定不准确会直接影响点云质量，因此该方法对工业扫描和检查应用至关重要。
第一作者: Ryan Gomes Paiva · 方向: 导航与运动 · 来源: cs.RO
DASH机器人空中地面运动接触隐式控制最小化设计能量高效
Abstract:We present a novel and minimalistic design of an aerial-terrestrial robot DASH: Ducted Aerial Spring Hopper. The goal is to enable both aerial and ground locomotion capabilities on a unified mobile robot that is mechanically-minimalistic, locomotion-versatile, and energy-efficient. We propose an organic integration of ducted fan co-axial body with a springy leg at the bottom for realization. The ducted fan module provides thrust-vectoring as the main actuation for agile flying; when it is combined with the light-weight spring leg, the robot realizes highly efficient ground hopping with energy circulation. Moreover, to realize optimal locomotion with two modes, we employ a contact-implicit model predictive controller to automatically choose locomotion modes and actuation. We successfully validated the design and control of DASH through a range of tasks, including periodic...
论文介绍 本文提出一种新型空中-地面机器人DASH的设计，旨在统一飞行与地面运动能力，实现机械简单、功能多样且能量高效。核心方法是结合涵道风扇与弹簧腿，采用接触隐式模型预测控制自动选择运动模式。该机器人可应用于探索、救援等需要灵活移动的场景。
第一作者: Himanshu Gupta · 方向: 导航与运动 · 来源: cs.RO
目标拦截拥挤环境POMDP在线规划树搜索
Abstract:Target interception in crowded environments requires reaching a moving objective while navigating among multiple uncertain human agents. Since human navigation intent is not directly observable, the robot must reason over multiple possible future interaction outcomes. We formulate interception in crowds as a partially observable Markov decision process and solve it online using tree search under a fixed computational budget. In this setting, the action-space structure directly shapes the search tree and how computational effort is allocated. We perform a controlled comparison between a sequential path-speed planner, which first plans a spatial path and then modulates speed along it, and a unified planner that jointly branches over steering and speed within tree search. Across simulations with up to 200 humans, both approaches perform similarly at low crowd density but diverge...
论文介绍 研究在拥挤多人环境中拦截移动目标的问题，其中人类导航意图不可观测。方法将拦截建模为部分可观测马尔可夫决策过程（POMDP），使用在线树搜索在固定计算预算下求解，并比较顺序与统一规划器的性能。这有助于提升机器人在复杂人群环境中的导航与交互能力。
第一作者: Elena Sorina Lupu · 方向: 策略学习 · 来源: cs.RO
强化学习物理机器人平台Open Ant策略学习仿真现实迁移
Abstract:Reinforcement learning (RL) research has demonstrated success in both physical and simulated domains; however, the predominant methodology remains rooted in simulations. The predominance of simulations makes translating research to physical reality uncertain for both algorithms and researchers. We propose a physical platform that is designed to simplify the transition. In this paper, we present the Open Ant: a physical variant of the commonly used Gymnasium Ant environment, along with a simulation. We demonstrate that competent walking policies can be learned from scratch in approximately one hour directly from the physical robot's experience for two substantially different RL algorithms: SARSA($\lambda$) and Soft Actor-Critic (SAC). Separately, we show policies that were learned in simulation transfer to reality. We also examine how well the platform supports a nimble...
论文介绍 针对强化学习研究依赖仿真、迁移到物理现实不确定的问题，本文提出Open Ant物理机器人平台，类似常用仿真环境。实验表明，可从机器人经验中直接学习行走策略，并支持仿真策略的现实迁移。该平台旨在简化强化学习在物理机器人上的研究与应用。
第一作者: Jordan Dowdy · 方向: 导航与运动 · 来源: cs.RO
扭矩控制强化学习四足机器人运动控制粗糙地形
Abstract:Reinforcement learning (RL) for legged robots is advancing locomotion, demonstrating its ability to adapt to new and challenging terrain. Traditionally, these RL locomotion frameworks are position-based, making the policy less adaptable to terrain types and requiring state estimation techniques in the observation space, i.e., linear velocity. Moreover, these RL frameworks often use small, lightweight quadrupeds that are limited in their viability for high-complexity tasks due to hardware constraints. This work explores an RL torque control framework for heavyweight high-torque quadrupeds. The RL framework in this paper can traverse rough terrain and effectively track a desired linear velocity without requiring knowledge of the agent's current velocity. Using Nvidia's Isaac Sim and Isaac Lab, simulation results of the RL torque control policy are shown on the Unitree B1...
论文介绍 传统位置驱动强化学习在四足机器人上适应性差且需状态估计。本文探索扭矩驱动强化学习框架，用于重型高扭矩四足机器人，使其无需速度知识即可穿越粗糙地形并跟踪期望速度。该框架可提升机器人在复杂地形中的运动鲁棒性。
第一作者: Michal Ciebielski · 方向: 机器人操作 · 来源: cs.RO
可行性感知运动优化类人机器人轨迹生成LLM
Abstract:Fast planning of novel behaviors in unseen scenarios remains a fundamental challenge in robotics. The high-dimensional, hybrid, and underactuated nature of humanoid loco-manipulation continues to hinder the realization of this goal. In this paper, we address this challenge by proposing a nested kino-dynamic framework for rapid feasibility checking and dynamically consistent trajectory generation given a candidate contact sequence. By integrating this module with a feasibility-guided tree search and a Large Language Model (LLM)-based contact plan sampling strategy, we demonstrate that the proposed framework can substantially improve the search process. Furthermore, we show that the generated trajectories can be tracked using a reinforcement learning (RL)-based controller and show that the resulting trajectories are of sufficiently high quality for execution in real-world...
论文介绍 针对类人机器人运动规划的高维挑战，本文提出FARO框架，通过嵌套运动动力学检查、可行性引导树搜索和大型语言模型接触计划采样，实现快速可行性检查与动态一致轨迹生成。生成轨迹可由强化学习控制器跟踪，加速未知场景中的行为规划。
第一作者: Hadi Alzayer · 方向: 机器人操作 · 来源: cs.RO
视觉动作世界建模机器人操作视频模型动力学预测
Abstract:Video models absorb rich priors over how the visual world moves, interacts, and responds to contact, making them promising substrates for robotic world modeling. The central challenge is how to communicate action to such models in a form aligned with the visual space in which they learned these interaction priors, yet still grounded in physical manipulation. We introduce Masked Visual Actions, a pixel-space control interface that expresses action as a partially revealed trajectory of an arbitrary entity in a video. Revealing robot motion makes the model act as a forward dynamics model that predicts the scene's response to low-level robot actions, while revealing desired object motion makes the same model recover robot behavior consistent with that outcome. Finetuned with only 15 hours of masked examples from real videos and simulation, a single checkpoint achieves strong...
论文介绍 视频模型蕴含丰富世界交互先验，但如何将动作对齐到视觉空间是挑战。本文引入遮罩视觉动作，通过部分揭示视频中实体轨迹表达动作，使模型预测场景响应或恢复机器人行为。该方法可用于统一世界建模，提升机器人操作与动力学预测能力。
第一作者: Hamidreza Yaghoubi Araghi · 方向: 具身智能 · 来源: cs.RO
特征空间校正量化感知分布外鲁棒性边缘机器人后训练量化
Abstract:Robotic perception pipelines increasingly rely on large vision backbones deployed on SWaP-constrained edge platforms, making post-training quantization (PTQ) attractive for real-time inference. However, while PTQ often preserves clean in-distribution accuracy, we show that it can substantially degrade reliability under deployment-relevant distribution shifts (e.g., sensor noise, severe weather, and novel operating environments), creating a Quantization-Induced Robustness Gap. Across foundational vision benchmarks (ImageNet-C and PACS), 4-bit PTQ models exhibit pronounced robustness degradation despite negligible ID accuracy loss. To address this, we propose Recti-Q, a lightweight feature-space rectification framework that freezes the quantized backbone and trains a small classifier-head LoRA adapter using only source data. Recti-Q is architecture-agnostic across CNNs and...
论文介绍 后训练量化在边缘机器人视觉任务中易受分布外场景影响，导致鲁棒性下降。本文提出Recti-Q框架，冻结量化骨干网并训练小分类头适配器，通过特征空间校正提升鲁棒性。该方法适用于CNN和Transformer架构，改善恶劣环境下的感知可靠性。
第一作者: Murali Indukuri · 方向: 数据集与评测 · 来源: cs.RO
危险识别异常检测视觉语言模型安全关键系统评估
Abstract:Modern safety-critical systems increasingly rely on human-robot interaction to reduce disaster risk and support decision-making during emergencies. Vision-Language Models (VLMs) are promising for these settings because they can interpret complex scenes and communicate safety-relevant information, but they still require careful evaluation to ensure reliable safety reasoning. In particular, current evaluations often frame danger recognition as a binary decision (Safe/Unsafe), making it unclear whether a model is identifying true physical hazards or merely reacting to unusual scene elements. We address this limitation by introducing an explicit distinction between hazard and anomaly, and by separately recognizing hazardous and anomalous states. We evaluate several state-of-the-art VLMs across two datasets and multiple prompting strategies to test whether this distinction changes...
论文介绍 视觉语言模型在安全关键系统中需可靠识别危险，但现有评估将危险识别视为二元决策。本文引入危害与异常的明确区分，评估多个模型在不同数据集和提示策略下的表现。这有助于区分真实物理危害与异常场景，提升紧急情况下的安全推理能力。
第一作者: Sibo Wang · 方向: 多模态具身 · 来源: cs.CV
对抗鲁棒性大型视觉语言模型双对抗微调多模态任务安全增强
Abstract:While Large Vision-Language Models (LVLMs), represented by LLaVA and GPT-4V, have demonstrated remarkable capabilities, their visual inputs remain vulnerable to adversarial attacks, posing significant security risks. Existing defense methods predominantly target single-task scenarios (e.g., zero-shot classification) and consequently lack generalizability across various multimodal tasks. To address this limitation, we propose a dual adversarial fine-tuning framework that jointly optimizes visual and semantic supervision signals from two modalities, enhancing model robustness while generalizing across multiple downstream tasks. The proposed framework comprises two core components, i.e., $\textbf{Visual}$ supervision branch and $\textbf{Semantic}$ supervision branch. The former branch leverages features from clean images, extracted via a frozen original vision encoder, to guide...
论文介绍 大型视觉语言模型如LLaVA和GPT-4V在多模态任务中能力突出，但其视觉输入易受对抗攻击，存在安全风险。现有防御方法多针对单一任务场景，缺乏泛化性。本文提出一种双对抗微调框架，通过联合优化视觉和语义监督信号，增强模型对对抗攻击的鲁棒性，并提升在多种下游任务中的泛化能力。该框架包括视觉监督分支和语义监督分支，分别利用干净图像特征和语义信息进行指导。
第一作者: Garvit Singla · 方向: 策略学习 · 来源: cs.LG
元学习强化学习语言条件模型无关元学习策略适应
Abstract:Model-Agnostic Meta-Learning (MAML) is a widely used framework for reinforcement learning (RL) that enables efficient transfer by learning global policy parameters that can be rapidly adapted to new tasks. MAML training proceeds in two loops: an inner loop where the global parameters are adapted to task-specific parameters, and an outer loop where these task-specific parameters are evaluated and losses are back-propagated to improve the global parameters. Traditionally, the inner loop adaptation is performed by collecting trajectories from the task environment and applying gradient updates on the empirical expected return, which can be a costly operation. We note that it is the outer loop that drives the actual learning of global parameters, and therefore the inner loop adaptation mechanism need not be restricted to be gradient-based. This observation leads us to ask: Can we...
论文介绍 模型无关元学习（MAML）是强化学习中用于快速适应新任务的框架，但其内循环适应过程通常依赖收集轨迹和梯度更新，计算成本较高。本文探讨将内循环适应机制从基于梯度的方法转变为利用语言指令条件。通过将轨迹转换为语言指令，实现更高效的策略适应，从而降低训练开销并保持全局参数的学习效率。该方法为元学习引入了语言监督，可能应用于机器人控制等场景。
第一作者: Jialian Li · 方向: 策略学习 · 来源: cs.AI
大型语言模型具身智能设备端大脑多阶段后训练Athena-Brain
Abstract:Large language models (LLMs) have demonstrated remarkable capabilities in language understanding, reasoning, and world knowledge. As embodied agents become increasingly capable, there is a growing demand for compact models that can serve as an on-device brain, preserving the broad general intelligence of LLMs while enabling effective high-level interaction with embodied environments. Existing approaches, however, often prioritize either general-purpose intelligence or specialized embodied capabilities, making it challenging to satisfy both requirements within a single model. We present \textbf{Athena-Brain-8B}, an 8B LLM designed to serve as an on-device brain for embodied intelligence for embodied intelligence. Through a multi-stage post-training pipeline consisting of General Supervised Fine-Tuning, General Reinforcement Learning, Embodied Expert training, and Model Merge...
论文介绍 大型语言模型在语言理解、推理和世界知识方面表现出色，但作为具身智能体的设备端大脑，需要兼顾通用智能和具身交互能力。现有方法往往难以在单一紧凑模型中平衡两者。本文介绍Athena-Brain-8B，一个8B参数的大型语言模型，专为具身智能设计。通过多阶段后训练流程，包括通用监督微调、通用强化学习、具身专家训练和模型合并，该模型旨在保留广义智能的同时，支持与具身环境的高效交互。
美股方面，标普500 ETF（SPY）当前价格747.41，接近52周高点，RSI为51.7呈中性，但MACD出现死叉；纳斯达克100 ETF（QQQ）近期回调，5日跌幅1.73%，RSI为46.6。加密货币市场整体处于恐慌状态，恐慌贪婪指数为31，总市值2.34万亿美元（24小时微跌0.31%），比特币主导率56.7%，比特币（BTC-USD）价格66007.37，RSI为58.9，趋势中性。中概股技术面偏弱，阿里巴巴（BABA）和拼多多（PDD）均呈空头排列，RSI分别为57和49。商品与外汇中，WTI原油期货（CL=F）强势上涨，1日涨幅3.56%，RSI达66.1接近超买；美元指数（DX-Y.NYB）接近52周高点，趋势看涨。
当前价格87.93，1日上涨3.56%，5日上涨10.46%，RSI为66.1略超买区间，MACD值0.6692高于信号线-1.7184，形成多头排列，趋势被标记为bullish，动量强劲。
当前价格342.09，5日大幅下跌7.77%，RSI为40.6接近超卖，MACD值-3.7826低于信号线-2.588，出现死叉信号，趋势中性但技术指标偏空。
当前价格212.06，1日上涨2.3%，RSI为56.2处于中性偏强区域，MACD值0.7335高于信号线-0.3645，呈多头排列，趋势标记为bullish。
当前价格374.01，1日下跌1.3%，5日下跌5.18%，RSI为41.7偏弱，MACD值-6.9662低于信号线-4.0907，空头排列，趋势bearish。
当前价格66007.37，1日微跌0.75%，5日上涨3.3%，RSI为58.9接近中性，MACD值589.9612高于信号线202.495但趋势标记为neutral，无明显方向信号。
VIX 恐慌指数
10Y 美债收益率 (%)
美元指数 DXY
S&P 500 ETF
Nasdaq 100 ETF
Apple
Microsoft
Nvidia
Alphabet
Tesla
Meta
Bitcoin
Ethereum
Solana
阿里巴巴 (BABA)
拼多多 (PDD)
京东 (JD)
腾讯控股 (0700.HK)
黄金期货
WTI 原油期货
美元 / 人民币
本报告基于公开行情数据计算的技术指标，过去走势不代表未来表现，仅供技术指标解读参考，不构成任何投资建议。投资者应结合自身情况谨慎决策。
Early Thursday in the Middle East, the U.S. Central Command said it was carrying out a new wave strikes on Iran, a 12th consecutive day of attacks. Iranian state media said the province that is home to Iran’s only operating nuclear power plant had been hit in a missile strike.
中文摘要 美国中央司令部对伊朗发起新一轮打击，这是连续第12天的攻击。伊朗州媒体报道称，该国唯一运行的核电站所在省份遭导弹袭击。
The actress wore earrings to an event for “The Odyssey” that a London gallery has said were made from an ancient artifact.
中文摘要 演员Zendaya在「奥德赛」活动佩戴的耳环被伦敦画廊指为古代伊朗文物，引发关于文化遗产的争论。
The airports have opted in to the agency’s new security model, an agency spokesperson confirmed on Wednesday. A union official said the move could jeopardize public safety.
中文摘要 三个机场计划采用新安全模型，放弃美国运输安全管理局，转而使用私人安保。工会官员担忧此举可能危及公共安全。
US military says it is degrading Tehran’s ability to threaten ships in strait of Hormuz; Houthis say tankers violated their blockade; US signs nuclear deal with Saudi Arabia Two people have been killed in a US strike at the Shalamcheh border crossing in south-western Iran, the country’s Students New
中文摘要 也门胡塞武装声称攻击红海油轮，美国对伊朗进行连续第12夜打击。美国与沙特签署核协议，伊朗边境交叉口有两人在美军打击中死亡。
Treasurer says ‘parties of the sensible centre and the centre-left parties’ face ‘serious economic challenges’. Follow live Get our breaking news email, free app or daily news podcast Self-reported domestic violence incidents declining in NSW but deaths and hospitalisations fail to fall New data sho
中文摘要 澳大利亚总理抵制新天然气出口税呼吁，财政部长指出政党面临严重经济挑战。新南威尔士州自报家暴事件下降，但死亡和住院人数未降。
Economist Mary Lovely dismisses the claims that getting automakers to produce more cars in America proves tariffs work.
中文摘要 经济学家Mary Lovely驳斥关税能促使汽车制造商在美国生产更多汽车的说法，讨论AI、中国「黑暗工厂」对美国汽车工业未来的影响。
The US Department of Energy says the "peaceful" co-operation agreement will give US firms "great access" to the Saudi nuclear energy programme.
中文摘要 美国能源部与沙特签署标志性核合作协议，美国公司获沙特核能计划的优先访问权，旨在推进和平核合作。
Canada's dairy supply management system is in the spotlight after the US president singled it out as one of three main irritants used to justify new tariffs.
中文摘要 加拿大乳制品供应管理系统成为特朗普贸易关税的焦点，被指为引发新关税的三个主要刺激因素之一。
The Saudi authorities had yet to confirm the hits, which would be the first attacks since the Iranian-backed Yemeni group announced a blockade on Saudi Arabia.
中文摘要 胡塞武装声称在红海攻击两艘沙特油轮，沙特当局尚未确认。这是该组织宣布封锁沙特以来的首次攻击。
Video footage and satellite images reveal new details about Iranian strikes on U.S. targets during the latest flare-up in fighting.
中文摘要 视频和卫星图像揭示了伊朗在最新冲突中对美国中东军事基地的打击细节，显示新损坏情况。
US and Iran trade new threats as more explosions are reported in Iranian cities, including Sirik, Ahvaz and Bushehr.
中文摘要 美国和伊朗互相发出新威胁，伊朗多个城市报告爆炸，包括锡里克、阿瓦士和布什尔。
中文摘要 此条目标题为「最新情况」，但未提供具体内容，信息不足。
Herders and experts tell the BBC how Africa's camels are suffering because of extreme heat.
中文摘要 非洲骆驼因气温上升而受苦，牧民和专家描述极端高温对「沙漠之舟」的生存影响。
Ukrainian drones have hit several retail warehouses belonging to Russia's biggest online retailer Wildberries in a matter of days.
中文摘要 乌克兰无人机在数日内多次打击俄罗斯最大在线零售商Wildberries的零售仓库，企业承压。
The BBC's Sarah Smith explains the implications of the landmark cooperation agreement between both countries.
中文摘要 BBC的Sarah Smith解释美国与沙特签署的标志性核合作协议的影响和意义。
The allegations come as Chinese AI companies are facing increased US government scrutiny.
中文摘要 特朗普科技顾问指控中国AI公司月之暗面抄袭Anthropic，该指控提出于中国AI企业面临美国政府加强审查之际。
While the yen’s plunge to a four-decade low against the dollar has dominated headlines, a broader gauge of the currency’s strength is sending an equally worrying signal for Japan.
中文摘要 日元在贸易加权指标中下跌，显示其广泛走弱。尽管兑美元跌至四十年低点，但更广泛的货币强度指标也向日本发出担忧信号。
Confirmed Ebola deaths in Democratic Republic of Congo have surpassed 1,000, prompting Africa’s top public health official to warn the outbreak could become one of the worst on record unless transmission is rapidly brought under control.
中文摘要 刚果民主共和国埃博拉死亡人数已超过1000人，非洲最高公共卫生官员警告，除非迅速控制传播，否则疫情可能成为有记录以来最严重之一。
Capital expenditures more than doubled as company accelerates pivot to AI and robots
中文摘要 特斯拉利润大幅下降，同时资本支出翻倍以上，因公司加速转向人工智能和机器人业务，并使用深度折扣推动销售。
Greg Ward appointed to lead Australian investing giant
中文摘要 麦格理集团任命银行业主管Greg Ward接替Wikramanayake出任首席执行官，领导这家澳大利亚投资巨头。
Some high-profile Chinese funds heavily invested in consumer names are pivoting to AI stocks, a bet that may boost returns but also leaves them more vulnerable to the sector’s volatility.
中文摘要 一些曾大量投资消费股的中国知名基金正转向人工智能股票，此举可能提升回报，但也增加了对行业波动的暴露风险。
Nasdaq Inc. will change its rules to make it easier to kick off flailing businesses as regulators zero in on wild market swings and allegations of manipulation that have plagued trading in so-called microcap stocks.
中文摘要 纳斯达克将修改规则，更容易淘汰表现不佳的企业，以应对监管机构对微型股交易中剧烈波动和操纵指控的关注。
Gold held gains on dip-buying even as hostilities in the Middle East pushed oil prices to multiweek highs, rekindling concerns that US inflationary pressure could prompt the Federal Reserve to raise interest rates.
中文摘要 黄金因逢低买入而维持涨幅，尽管中东敌对行动推高油价至多周高点，重新引发对美联储可能因通胀压力加息的担忧。
The cost of parking closest to the terminal just for a few minutes has hit £10 at two of the UK's busiest airports.
中文摘要 英国两个最繁忙的机场，航站楼附近停车几分钟的费用已涨至10英镑，送客费整体上涨三分之一。
The cost of parking closest to the terminal just for a few minutes has hit £10 at two of the UK's busiest airports.
中文摘要 英国两个最繁忙的机场，航站楼附近停车几分钟的费用已涨至10英镑，送客费整体上涨三分之一。
More entrepreneurs from China believe there are now greater opportunities at home than in Silicon Valley
中文摘要 越来越多的中国企业家认为，国内机会比硅谷更大，导致美国失去中国人工智能领域的明星人才。
A record pile of yuan in Hong Kong is making its way to corporate loans while driving a surge in capital market activity, signaling that China’s drive to internationalize its currency is advancing.
中文摘要 香港离岸人民币市场演变为全球融资中心，创纪录的人民币存款流向企业贷款，推动资本市场活动激增，显示中国货币国际化取得进展。
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