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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 ASPIRE 行为图搜索，开放式发现 Agent 提示注入漏洞
Published Oct 7
Evaluated models Gemini-3.7-Flash , DeepSeek-V4-Flash , Gemini-2.5-flash Abstract ASPIRE 把提示注入红队从载荷优化改成行为图引导的开放式漏洞发现。ASPIRE 是给搭建方用的智能体提示注入红队引擎，目标是开放式画出可利用的行为路径，而不是在固定任务上打磨一条载荷。
提出 AdaLCPI，把恶意指令拆成碎片嵌入工具返回并诱导 Agent 越权执行
Published Sep 29
Evaluated models GPT-4.1 , GPT-5.1 , GPT-5.6-Luna and others7 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 Search Harness，把间接提示注入做成测试时搜索并自适应利用
Published Sep 4
Evaluated models Claude Opus 4.8 , GPT-5.5 提出 PIMiner，用可复用策略库自动搜索并迁移针对智能体的提示注入
Published Aug 6
Evaluated models Gemini-2.5-Pro , DeepSeek-V4-Pro , GPT-4o-mini and others10 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 构建 OpenART 竞技场，以 EMHA 演化持久环境评测智能体安全
Published Aug 1
Evaluated models GPT-5.5 , Claude-Opus-4.8 , GLM-5.2 and others5 训练自博弈红队智能体 GPT-Red，规模化生成提示注入与越狱攻击
Published Jul 29
Evaluated models GPT-5.6 , GPT-5.5 , GPT-5.4 and others8 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。
提出针对 Agent 护栏的推理扩展拒绝服务攻击
Published Jun 12
Evaluated models TS-Guard-8B , Qwen3.5-9B , DeepSeek-V3.2 and others11 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。
构建 Trojan Hippo Bench，评测 Agent 持久记忆投毒与外泄
Published May 4
Evaluated models Gemini 3.1 Pro , GPT-5-mini , GPT-5 Abstract 论文提出了评测智能体持久化记忆攻击与防御的 Trojan Hippo Bench，揭示了潜伏攻击威胁及内存防御的安全与效用权衡。
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