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Oct 12 · Monday

All papers

Found 1 paper
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Attack type

Poisoning and backdoors1

System type

AI Agent4coding agent1Multi-agent systems4

Attack surface / entry point

User input4Documents and messages3Tool and skill descriptions18Code repositories and dependencies5Memory writes4Inter-agent messages1Weights and gradients3Distribution channels18
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Attack type：Poisoning and backdoorsSystem type：coding agentAttack surface / entry point：Inter-agent messagesClear all

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  1. Evaluation and benchmarksarXiv 2609.32635

    TrustFork：显示身份如何劫持 LLM 智能体编排的权限

    提出 TRUSTFORK 基准，评测展示身份劫持多智能体编排权限

    arXiv
    2609.32635
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems, coding agent
    Evaluated models
    GPT-5.6-Sol, GPT-5.6-Luna, Kimi-K3 and others8

    Abstract论文提出了多智能体安全基准 TRUSTFORK，揭示展示身份如何劫持操作权威，并证明事后验证无法弥补已发生的执行破坏。

    Paper analysisRead analysis
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