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Oct 12 · Monday

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  1. Researchers propose MemGhost, achieving covert memory injection into persistent personal agents

    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
    Setting
    AI Agent
    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。

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  2. PaperGuard:针对多模态 AI 同行评审的攻击与防御基准

    提出 PaperGuard,用图文注入与梯度扰动抬高自动审稿分数并检测恶意指令

    Published
    Evaluated models
    Claude-sonnet-4.5, GPT-4o, GPT-4.1 and others11
    AbstractPaperGuard 测到提示注入与白盒视觉抬分,并比较分块检索防御。

    PaperGuard同时评测并检测多模态 AI 审稿中的评分操纵。

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  3. Trojan Hippo Bench: A Dynamic Benchmark for Persistent Memory Attacks and Defenses on LLM Agents

    构建 Trojan Hippo Bench,评测 Agent 持久记忆投毒与外泄

    Published
    Setting
    AI Agent
    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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  4. DREAM 框架用跨环境长链攻击评测 12 个 LLM Agent

    提出 DREAM 框架,评测 Agent 的跨环境长链攻击脆弱性

    Published
    Setting
    AI Agent
    Evaluated models
    Gemini-2.5-Flash-NT, o4-mini, Gemini-2.5-Flash and others12

    AbstractDREAM 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。

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  5. 论文提出 ARE 框架,在 VisualWebArena 上评估多模态 Agent 的对抗鲁棒性

    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
    Setting
    web agent
    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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