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Oct 12 · Monday

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Found 2 papers
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Attack technique

Gradient and representation optimization1Automated search1

System type

LLM applications17AI Agent58coding agent12web agent6Multi-agent systems4Embodied systems and robotics2

Layer

Prompt layer5Application layer2
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Attack technique：Gradient and representation optimizationAttack technique：Automated searchSystem type：Embodied systems and roboticsLayer：Application layerClear all

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  1. AttacksarXiv 2601.13612

    PINA：针对导航智能体的提示注入攻击

    提出 PINA，迭代优化针对导航智能体的提示注入

    arXiv
    2601.13612
    Published
    Layer
    Application layer
    Setting
    Embodied systems and robotics
    Evaluated models
    GPT-3.5-turbo, GPT-4, Balcı et al. [2]
    AbstractPINA 在黑盒下优化导航提示注入。

    PINA 是面向基于 LLM 的导航智能体、在黑盒条件下优化提示注入的框架。

    Paper analysisRead analysis
  2. AttacksarXiv 2505.23266

    AdvOF：用对抗物体融合攻击 VLM 驱动的视觉语言导航智能体

    提出 AdvOF，生成对抗物体误导视觉语言导航智能体的场景感知

    arXiv
    2505.23266
    Published
    Layer
    Application layer
    Setting
    Embodied systems and robotics
    Attacker
    White-box
    Evaluated models
    Lseg, Clip, ViT-L/16 and others5
    AbstractAdvOF 以多视角融合生成对抗物体。

    AdvOF 是针对 VLM 驱动 VLN 服务导航的对抗物体攻击。

    Paper analysisRead analysis
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