Translation in progress Some entries still include text in the original language.
Oct 12 · Monday
All papers Found 11 papers Another 240 papers do not have category tags yet and are not included in filtered results.
“
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 PackHallu，经规则文件提示注入诱导编码 Agent 换用攻击者指定包
Published Oct 7
Evaluated models Qwen2.5-Coder-7B , Qwen3-Coder-30B , Devstral-Small-2-24B and others19 Abstract PackHallu 诱导规则文件换包。PackHallu 研究一种针对编程智能体规则文件的提示注入：让智能体在本应使用合法依赖时，改导入攻击者指定并控制的包。
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 用跨目标课程强化学习训练提示注入红队，攻破前沿智能体
Published Sep 27
Evaluated models GPT-4o-mini , GPT-5-nano , GPT-5.6-Luna and others12 Abstract 提出跨目标模型课程强化学习，攻破前沿模型冷启动瓶颈并实现跨模型迁移。该研究针对强化学习自动化提示注入红队在攻击前沿大模型时的冷启动问题，提出了一种基于目标模型鲁棒性递进的课程强化学习方法。
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 LoginTrap，以网页弹窗诱导 Web Agent 提交敏感信息
Published Aug 5
Evaluated models GPT-4o , Gemini 3 Flash , Claude Sonnet 4 and others7 Abstract 揭示网络智能体在黑盒网页下的登录诱导风险，利用模糊测试生成话术并跨骨干和架构验证了隐私泄露威胁。
提出权威链劫持与轨迹引导策略演化，劫持搜索 Agent 的证据链
Published Aug 5
Evaluated models Qwen3.5-9B , Gemma4-31B , DeepResearch and others7 Abstract 论文揭示了多步搜索智能体在受限中间人操纵下的脆弱性，提出 ACH 策略与 TGSE 演化方法并完成系统验证。
提出 AHA 自动科研循环，发现生产 Agent 的可复用漏洞概念
Published Jul 13
Evaluated models Minimax-M2.7 , Kimi-K2.6 , Deepseek-V4-Pro and others5 Abstract 论文提出基于可证伪科研循环的 AHA 框架，从生产级智能体中挖掘并沉淀漏洞概念图，提升攻击复用率并指导防御加固。AHA 是一项针对生产级 LLM 智能体自动化红队测试的研究，旨在解决传统方法仅保留具体攻击载荷而缺乏成因解释、导致跨版本复用困难且无法指导修复的问题。
提出 CONTRA 树搜索，通过良性配置修改诱发个人化 Agent 执行恶意动作
Published Jul 3
Evaluated models Gemma4-31b , GLM-4.7-flash , GPT-OSS-20b and others5 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。
You have reached the end