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Oct 13 · Tuesday

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Found 2 papers
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Attack technique

Gradient and representation optimization1Reasoning-chain manipulation6Selection manipulation1

Layer

Model layer0Application layer2

System component

MCP and skills10RAG6Reasoning chains2Vision7Embeddings3Multimodal8
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Attack technique：Gradient and representation optimizationAttack technique：Selection manipulationLayer：Model layerLayer：Application layerSystem component：Reasoning chainsClear all

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  1. AttacksarXiv 2607.00422

    KidnapRAG：黑盒投毒攻击劫持 Agentic RAG 的推理链

    提出 KidnapRAG，用投毒文档黑盒劫持 Agentic RAG 的推理链

    arXiv
    2607.00422
    Published
    Layer
    Application layer
    Setting
    AI Agent
    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。

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  2. AttacksarXiv 2406.12814

    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

    arXiv
    2406.12814
    Published
    Layer
    Application layer
    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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