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Oct 12 · Monday

All papers

Found 1 paper
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Defense type

Instruction–data separation1Permissions and approval0

Impact

Unauthorized actions12Data and privacy leaks5Output manipulation1

System type

LLM applications5AI Agent10coding agent1web agent0
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Defense type：Instruction–data separationDefense type：Permissions and approvalImpact：Output manipulationSystem type：coding agentSystem type：web agentClear all

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  1. DefensesarXiv 2605.08382

    SecureForge 通过提示词优化发现并减少 LLM 生成代码漏洞

    提出 SecureForge，在推理时优化系统提示以减少编码智能体的代码弱点

    arXiv
    2605.08382
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    Qwen 2.5 Coder 7B, Qwen 2.5 Coder 14B, Qwen3 30B-A3B and others10
    AbstractSecureForge 审计良性 CWE 失败并优化系统提示词。

    SecureForge是一条只用 API 和静态分析、在推理时加固编码模型的流水线。

    Paper analysisRead analysis
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