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Oct 13 · Tuesday

Agent safety · Papers

Found 2 papers
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Attack type

Jailbreaks5Prompt injection53Poisoning and backdoors17Detection evasion2

System type

AI Agent2Multi-agent systems0
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Attack type：Detection evasionSystem type：AI AgentSystem type：Multi-agent systemsTopic: Agent safetyClear all
  1. DefensesarXiv 2610.02432

    论文提出 LLM 输入扰动鲁棒性度量，并发布 ASA 攻击与 AttestMCP 防护

    提出 ASA 与 AttestMCP，度量并降低 LLM 对输入序列扰动的敏感

    arXiv
    2610.02432
    Published
    Layer
    Application layer
    Setting
    LLM applications, AI Agent
    Attacker
    Black-box
    Evaluated models
    Gemma-3-27B-Instruct, Gemma-3-4B-Instruct, Llama-3.2-3B-Instruct and others12
    Paper analysisRead analysis
  2. DefensesarXiv 2607.13716

    CAVA：面向智能体 AI 运行时治理的规范动作验证与证明

    提出 CAVA，将异构智能体运行时事件规范为可哈希动作并绑定审批与回执

    arXiv
    2607.13716
    Published
    Layer
    Application layer
    Setting
    AI Agent
    AbstractCAVA 用规范动作指纹承接异构运行时治理。

    CAVA 是给异构智能体运行时用的动作语义层，用来回答“被批准和被审计的到底是哪一个动作”。

    Paper analysisRead analysis
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