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Oct 12 · Monday

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Found 2 papers
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Attack technique

Multi-turn escalation1Encoding and obfuscation1Dormant triggers3

System type

LLM applications6AI Agent24coding agent8Multi-agent systems2

Layer

Application layer2
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Attack technique：Multi-turn escalationAttack technique：Encoding and obfuscationSystem type：Multi-agent systemsLayer：Application layerClear all

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  1. AttacksarXiv 2610.00392

    A2A-TIBA：针对 A2A 协议 LLM 智能体的间接提示注入攻击与三层同构攻防模型

    提出 A2A-TIBA，经 A2A 对等任务间接注入并植入常驻回调

    arXiv
    2610.00392
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems
    Evaluated models
    MiniMax-M3, deepseek-v4-pro, glm-5.3 and others8
    AbstractA2A-TIBA 一次植入后绕过智能体，GDA 用四类结果定位防线，ELA-ITL 把信封标注列为第三层。

    A2A-TIBA 把间接提示注入和绕过放进 A2A：gray-box 攻击者已能投递任务，诱导目标部署常驻回调程序后，下令和外传不再经过智能体。

    Paper analysisRead analysis
  2. AttacksarXiv 2603.00131

    Thought Virus：多 Agent 系统中潜意识提示引发的病毒式失准

    提出 Thought Virus，经潜意识提示使偏好沿多 Agent 消息传播

    arXiv
    2603.00131
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems
    Evaluated models
    Qwen2.5-7B-Instruct, Llama-3.1-8B-Instruct
    AbstractThought Virus 把单点偏差传到下游。

    Thought Virus 把 subliminal prompting 放进多智能体通信，看单点偏差会不会在不点名目标概念时传到全网。

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