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Oct 12 · Monday

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  1. AttacksarXiv 2603.01414

    通过动作级操纵越狱具身 LLM

    提出 Blindfold,用动作级操纵越狱具身 LLM

    Published
    Evaluated models
    Llama-3.1-8B, DeepSeek-R1-14B, Gemma-3-27B and others8
    AbstractBlindfold 以动作级代理规划越狱具身 LLM,作者称可绕过语义检查并在仿真与真机生效。

    Blindfold 是面向具身 LLM 规划模块的 no-box 攻击,把恶意意图改写成看似良性的动作序列。

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  2. AttacksarXiv 2602.09431

    Grounding-driven attack: Improving the transferability of encoder-based adversarial attacks to large vision-language models

    提出 GDA,将图像对抗扰动对齐文本接地证据并迁移攻击视觉语言模型

    Published
    Evaluated models
    LLaVA, Qwen2.5-VL, InternVL3 and others10
    AbstractGDA 把扰动对准文本接地证据,作者称这提高了异构 LVLM 上的零查询黑盒迁移性。

    GDA 是面向异构 LVLM 的零查询黑盒编码器迁移攻击。。

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