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Oct 12 · Monday

All papers

Found 6 papers
Filter4

Attack type

Prompt injection6

Defense type

Model hardening6Detection and filtering9Instruction–data separation20Permissions and approval14Monitoring and auditing6

Impact

Unauthorized actions3

System type

AI Agent5

Attack surface / entry point

Web pages and interfaces6Documents and messages3Tool responses6Code repositories and dependencies0

Layer

Application layer6
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Defense type：Model hardeningAttack surface / entry point：Web pages and interfacesAttack surface / entry point：Code repositories and dependenciesLayer：Application layerClear all

Another 232papers do not have category tags yet and are not included in filtered results.

  4. DefensesarXiv 2609.02786

    SafeEvolve：基于智能体经验的 Harness-Policy 协同演化安全对齐框架

    提出 SafeEvolve，用轨迹证据协同演化安全 harness 与策略

    arXiv
    2609.02786
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Qwen3.5-4B, Qwen3-4B-Instruct-2507, Qwen3.5-1.7B and others4
    AbstractSafeEvolve 用轨迹证据协同更新安全 harness 和策略，在两个 4B 模型的智能体安全基准上改变安全与效用。

    SafeEvolve 把已完成的 on-policy 轨迹变成安全 harness 的有界更新，并用两阶段 SFT-RL 把这些更新内化进工具使用策略。

    Paper analysisRead analysis
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