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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.
提出跨独立 Agent 的记忆跳跃攻击，经共享工件在助手间自传播
Published Sep 29
Evaluated models GPT-5.6 Luna , Kimi-K2.6 , GPT-OSS-120B and others6 Abstract 论文证实持久工件与内存可形成跨智能体传播链，揭示了将共享工件纳入安全防线的重要意义。该论文系统研究并量化了通过共享持久工件在具有独立私有内存的 LLM 智能体之间发生自传播的“工件介导传播”攻击风险。
提出 EvoBreak，以良性任务组合诱导自进化 Agent 的持久经验并削弱安全边界
Published Aug 3
Evaluated models GPT-5-mini , Llama-3.1-8B-Instruct 提出 MEMGHOST，用单封邮件对持久个人 Agent 做跨会话隐蔽记忆注入
Published Jul 6
Evaluated models GPT-5.4 , Claude Sonnet 4.6 , Claude Sonnet 4.5 and others6 Abstract 总结了论文的研究背景、双代理优化方法 MEMGHOST、全周期实验结果以及作者对记忆信任边界的启示。本文研究了持久化个人智能体面临的隐蔽记忆注入威胁，提出了一套兼顾写入、隐蔽与跨会话生效的自动化生成框架与全周期评测基准。
提出潜伏记忆投毒，诱导 Agent 把外部文档写成持久伪造记忆
Published May 15
Evaluated models GPT-5.4 , GPT-5.5 , Claude Sonnet 4.6 and others12 Abstract 持久记忆成为跨会话攻击面：通用载荷可写入伪造记忆，并在相关后续任务中影响行为。sleeper memory poisoning 研究带持久记忆的 LLM 助手：外部文档能否让助手存下一则伪造的用户记忆，并在原文档消失后的新会话里被取回、用来改变回复或动作。
提出 DEEPTRAP 以搜索可诱导不安全轨迹的执行上下文载荷
Published May 11
Evaluated models GPT-5.4 , Claude Sonnet 4.6 , GLM-5 and others9 Abstract DEEPTRAP 用轨迹级搜索发现 OpenClaw 上下文风险，作者称不能只看最终回复。DEEPTRAP 是针对 OpenClaw 的自动化红队框架，搜索执行前被改写的文件、记忆、技能、工具元数据或配置，而不是改用户指令。
提出 Zero2Text，无需训练地跨域反演文本嵌入
Published Feb 2
Evaluated models GTR-Base , Qwen3-Embedding-0.6B , Text-Embedding-3-small and others4 Abstract 零训练在线对齐可在未知域、无泄漏对时从黑盒 embedding 还原句子。Zero2Text 是一种不训练 decoder、也不使用泄漏文本–向量对的文本 embedding 反演，针对 RAG 向量库在严格黑盒、目标域未知时的还原。
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