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Oct 13 · Tuesday

All papers

Found 1 paper
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Attack technique

Gradient and representation optimization1Automated search3

Impact

Harmful content4Unauthorized actions3Output manipulation9Availability and reliability1

Layer

Application layer1Training and data layer0
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Attack technique：Gradient and representation optimizationImpact：Availability and reliabilityLayer：Application layerLayer：Training and data layerClear all

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  1. 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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