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Oct 12 · Monday

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  1. AttacksarXiv 2610.06670

    研究者提出 Reward Stealing Attack,从对齐模型行为反推安全奖励实施攻击

    提出 ReSA,从对齐模型行为恢复安全奖励并在解码时反转

    Published
    Evaluated models
    Llama3.1-8B-Instruct, Gemma-7B-Instruct, Qwen2.5-7B-Instruct and others9
    AbstractReSA 用最大熵 IRL 从对齐模型行为恢复代理安全奖励,并在解码时反转以诱导有害输出。

    ReSA 是一种对抗攻击:从对齐模型的可观察行为恢复代理安全奖励,再在解码时把该奖励反过来用。。

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  2. AttacksarXiv 2610.05894

    研究者提出闭环偏见注入攻击

    提出闭环激活引导,在扩散语言模型去噪过程中注入定向偏见

    Published
    Attacker
    Gray-box
    Evaluated models
    LLaDA-8B-Instruct, Dream-v0-Instruct-7B, LLaDA-MoE-7B-A1B-Instruct

    Abstract通过去噪中间概率反馈动态调节残差流转向,证明扩散语言模型在推理服务栈中存在闭环偏见注入脆弱性。

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