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Oct 12 · Monday
All papers Found 10 papers Another 262 papers do not have category tags yet and are not included in filtered results.
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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.
构建 AGENTDOXX 基准,评测联网搜索 Agent 对匿名访谈的再识别
Published Oct 5
Evaluated models GPT-5.6 Terra , GPT-5 Mini , GPT-4.1 Mini and others10 Abstract 论文提出了已知身份的重识别基准 AGENTDOXX,揭示搜索与记忆双重风险及现有防御在检索轨迹中的泄露漏洞。
提出 LLMLeak,借合法网页抓取把 URL 中的秘密隐蔽外传
Published Oct 1
Evaluated models Meta-Llama-3.3-70B-Instruct , Meta-Llama-4-Scout-17B-16E-Instruct , Meta-Llama-3.1-8B-Instruct and others18 Abstract 作者称第三方外传可发生于正常网页获取,防护需考虑工具请求而不只考虑提示注入。LLMLeak 是利用网页获取请求携带预先编码秘密的隐蔽通道攻击。 它关注恶意软件已能读取数据、却因网络限制或监控无法直接外传的情形。
提出 GUARD,在零样本 TTS 上用激活转向遗忘说话人身份以阻止再识别
Published Sep 23
Evaluated models CosyVoice2-0.5B , F5-TTS , FireRedTTS Abstract GUARD 用门控激活转向把退出说话人推向冒充相似度,以抑制再识别并保住音质。GUARD 用门控激活转向做说话人身份遗忘,使零样本 TTS 对退出说话人难以再识别。
提出扩散潜空间地理扰动防御,抑制视觉语言模型泄露精确地理位置
Published Sep 18
Evaluated models GPT-4.1 , GPT-5 , Gemini 2.5 Pro and others5 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。
提出 GraphProfiler,用个人知识图谱从帖子历史推断敏感属性并溯源
Published Sep 11 Abstract GraphProfiler 用源链接个人知识图谱做属性推断,准确率接近文本基线,并把证据定位到少量源帖。GraphProfiler 是一个可审计的 LLM 敏感属性画像器:用源链接个人知识图谱,把推断落到具体帖子。
提出红蓝对抗评测平台 ACEA,分开计量攻击强度与防御效果
Published Sep 8
Evaluated models openai/gpt-4o , google/gemini-2.5-pro , google/gemma-3-27b-it and others5 Abstract ACEA 用 ASAP 让红蓝对同一目标对打。ACEA 是让可插拔红队和蓝队共享一个目标 LLM 的对打场地,把攻击强度和防御效果分开记分。作者要补三处空缺:双方只能对着固定对手分开练。LLM judge 分不清真实泄露和幻觉,拦截后又看不到攻击有多强。
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 CFD 跨会话分解攻击,利用工件来源缺口绕过工具型 Agent 的本地检查
Published Jun 8
Evaluated models GPT-4.1 , GPT-5-nano , Claude-3.5-Sonnet and others6 Abstract CFD 用无指令 artifact 把越狱拆到跨会话。CFD 针对工具型 LLM 智能体:利用 artifact 来源不被跟踪这一部署失败模式,把有害目标拆开后延迟组合。
提出 NeuroFilter,用激活探针过滤智能体多轮隐私攻击
Published Jan 21
Evaluated models GPT-OSS 20B , Qwen 2.5 32B Instruct , Llama 3.3 70B and others8 You have reached the end