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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.
提出技能级联攻击，把有害目标拆散到多个技能里绕过单技能扫描
Published Sep 25
Evaluated models GPT-5.4 , GPT-5.4 Mini , Claude Opus 4.6 and others11 Abstract 论文探讨了多技能智能体系统面临的技能级联攻击风险，提出自动化红队框架与基准集，指出跨技能交互存在安全防护盲区。
提出两阶段框架 A2M，优化 MCP 工具元数据与返回载荷以劫持 Agent
Published Sep 23
Evaluated models GLM-4.6 , Qwen3-Max , DeepSeek-V3.1 and others5 提出 ISM，用语义匹配隐式操纵 Agent 技能选择
Published Sep 2
Evaluated models Llama-2-7B , Llama-3-8B , Llama-3.1-8B and others8 提出 CDH 攻击，让技能型 Agent 绕路放大资源消耗
Published Aug 13
Evaluated models Claude-Haiku-4.5 , DeepSeek-V4-Pro , DeepSeek-V4-Flash and others6 Abstract CDH 让静态技能在保持任务完成时拉高调用与 token，耗时则因后端而异。CDH 是针对渐进披露技能智能体的发布者侧、纯文本攻击：一个静态协调器把本可正确完成的任务，拐进有界但更耗资源的技能绕路，再交还原任务。
提出 KidnapRAG，用投毒文档黑盒劫持 Agentic RAG 的推理链
Published Jul 1
Evaluated models Qwen2.5-32B-Instruct , Llama-3.3-70B-Instruct , QwQ-32B and others5 Abstract 顺序投毒可把多步推理拖向指定应答，作者称关键在持续引导而非单次注入。KidnapRAG 是针对 Agentic RAG 的 black-box 语料投毒：攻击者不能访问模型、提示词、检索器或私有轨迹，只能发布可能被检索的文档，并利用公开界面上的推理与搜索查询。
Proposes PIDP-Attack, which manipulates RAG answers using query suffixes and corpus poisoning
Published Mar 26
Evaluated models qwen/qwen2.5-7b-instruct , qwen/qwen2-7b-instruct , meta/llama-3.1-8b-instruct and others8 You have reached the end