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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 WebMirage,用局部对抗图像劫持视觉网页 Agent 的浏览器操作
Published Oct 7
Evaluated models LLaVA-v1.5-13B , LLaVA-v1.6-34B , MiniCPM-o-8B and others6 Abstract 论文提出了针对网络智能体的端到端视觉红队框架 WebMirage,揭示了从视觉定位到浏览器执行的安全脆弱性。WebMirage 是一个面向视觉定位网络智能体的流水线感知端到端红队攻击框架。
提出 TRACE 框架,用分解与可演化多轮策略诱导智能体执行有害工作流
Published May 29
Evaluated models Codex , Claude Code , GPT-5.5 and others6 提出 DREAM 框架,评测 Agent 的跨环境长链攻击脆弱性
Published Dec 22, 2025
Evaluated models Gemini-2.5-Flash-NT , o4-mini , Gemini-2.5-Flash and others12 Abstract DREAM 提出基于知识图谱与策略搜索的动态红队框架,分析了长链跨环境攻击对当前主流智能体的系统性威胁。
Attacks arXiv 2509.25624 · Sep 30, 2025 提出 STAC 框架,把恶意目标拆成多轮看似无害的工具调用链
Published Sep 30, 2025
Evaluated models GPT-4.1-2025-04-14 , GPT-4.1-mini-2025-04-14 , Qwen3-32B and others8 Abstract 作者提出并验证了智能体在序列化工具攻击下的普遍脆弱性,指出针对累积动作序列防御的必要性。
Attacks arXiv 2505.11717 · May 17, 2025 提出 WebInject,用网页像素扰动诱导网页 Agent 执行指定动作
Published May 17, 2025
Evaluated models UI-TARS-7B-SFT , Phi-4-multimodal-instruct , Llama-3.2-11B-Vision-Instruct and others5 Abstract WebInject 经源码扰动原始像素。WebInject 是对 MLLM 网页智能体的环境提示注入:修改网页源码,使原始像素上的扰动经过显示器映射后,诱导智能体执行攻击者指定动作。
Attacks arXiv 2406.12814 · Jun 19, 2024 提出 ARE 框架与图像文本攻击,评测多模态网页 Agent 的对抗鲁棒性
Published Jun 19, 2024
Evaluated models GPT-4o , GPT-4V , Claude-3-Opus and others4 Abstract 系统评估多模态网页智能体的脆弱性,指出推理时计算组件被攻破会加剧系统风险。
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