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Oct 13 · Tuesday

All papers

Found 1 paper
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System type

Models and APIs34AI Agent4coding agent1

Attack surface / entry point

Documents and messages0Tool responses0Weights and gradients1

Layer

Application layer12Training and data layer1
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System type：coding agentAttack surface / entry point：Documents and messagesAttack surface / entry point：Tool responsesAttack surface / entry point：Weights and gradientsLayer：Training and data layerClear all

Another 211papers do not have category tags yet and are not included in filtered results.

  1. AttacksarXiv 2610.05793

    研究者训练出按多智能体拓扑触发的代码后门模型

    提出拓扑条件后门，使代码模型在推断多智能体部署时植入漏洞

    arXiv
    2610.05793
    Published
    Layer
    Training and data layer
    Setting
    coding agent
    Evaluated models
    Qwen2.5-7B-Instruct, Qwen2.5-Coder-7B-Instruct

    Abstract论文证实了拓扑条件后门的可训练性与泛化性，展示了常规评测盲区，并提出差异化拓扑审计作为检测防御方向。

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