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Oct 12 · Monday
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
提出免训练框架 SED，将有害智能体轨迹蒸馏为可检索安全策略
Published Sep 29
Evaluated models DeepSeek-V4-Flash , GLM-5.2 , Kimi K3 提出工具型 Agent 的自适应攻击 DART 与预执行防御 SAGE
Published Sep 28
Evaluated models GPT-5.6 Luna , GPT-5.6 Terra , Gemini 3.8 Flash and others5 Abstract 论文提出状态控制框架 SEAD、攻击 DART 与防御 SAGE，实验显示执行反馈与环境探测在攻防交互中具有关键作用。
提出 Skilder，按角色渐进下发企业工具并确定性拦截越权调用
Published Sep 24
Evaluated models Claude Haiku 4.5 , Qwen 3.5 122B , Gemma 4 31B and others6 Abstract Skilder 用单 MCP 服务器按角色交付工具并硬拦截。Skilder 把企业工具型智能体的能力按角色打包，经一个 MCP 服务器做渐进发现，使工具范围由服务器而不是提示词来执行。
构建 APort Vault 基准，对比支付智能体模型拒答与确定性授权
Published Sep 19
Evaluated models Claude Fable 5.1 , Claude Sonnet 5 , Claude Haiku 4.5 and others14 提出 FLOWSEAL，用工具级信息流控制阻断智能体隐私泄露
Published Sep 12
Evaluated models DeepSeek-V3.2 , GPT-4.1-mini , Gemini-Flash-2.5 Abstract 作者分析大模型智能体隐私检查与攻击面重合问题，提出外部拦截防御 FLOWSEAL 并验证有效性。
为冻结模型与目标域自动搜索可部署的 Agent 安全 harness
Published Sep 5
Evaluated models Sonnet 4.6 , GLM-5 , Kimi-K2.5 and others11 提出 SafeEvolve，用轨迹证据协同演化安全 harness 与策略
Published Sep 3
Evaluated models Qwen3.5-4B , Qwen3-4B-Instruct-2507 , Qwen3.5-1.7B and others4 Abstract SafeEvolve 用轨迹证据协同更新安全 harness 和策略，在两个 4B 模型的智能体安全基准上改变安全与效用。SafeEvolve 把已完成的 on-policy 轨迹变成安全 harness 的有界更新，并用两阶段 SFT-RL 把这些更新内化进工具使用策略。
提出 Skill-as-API，隔离多智能体协作中的 skill 正文与系统提示词
Published Sep 1 Abstract 协议把 skill 正文留在所有者侧，四层限制发现内容、权限期限和注入拼接。Skill-as-API 是面向智能体软件工程的协调协议，用来在跨组织调用时把 skill 的代码和系统提示词留在所有者进程。作者针对三条威胁：经通道或命名空间抽取专有方法，用注入让被调用模型输出系统提示词，以及协作结束后权限继续保留。
Defenses arXiv 2312.06632 · Dec 12, 2023 提出 SciGuard 外部护栏与 SciMT 基准，控制化学科学 AI 误用
Published Dec 12, 2023
Evaluated models SciGuard (GPT-4) , SciGuard (Gemini) , SciGuard (Mixtral) and others5 Abstract SciGuard 以外部智能体控制化学 AI 误用。这篇工作把化学科学 AI 的误用控制做成外部智能体，而不是改模型权重。作者担心合成规划、毒性预测和科学语言模型被用来获取有害物质信息、规避监管或传播危险知识，同时合法工业用途又不能靠一律拒绝来处理。SciGuard 由 LLM 担任中介，把原则和指南放进短期记忆，把分子库、危害库、法规和交互历史放进可检索的长期记忆，再按 Chain of Thought 调用 Chemprop、LocalRetro 等工具，或用 RAG 补法规片段，最后回答、追问或拒绝。
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