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Oct 12 · Monday

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Found 1 paper
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Attack technique

Gradient and representation optimization1

Impact

Unauthorized actions3Output manipulation1

Attack surface / entry point

User input5Web pages and interfaces1Retrieval corpus3Images, audio and video24
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Attack technique：Gradient and representation optimizationImpact：Output manipulationAttack surface / entry point：Web pages and interfacesClear all

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  1. AttacksarXiv 2603.16960

    针对现代视觉语言模型的对抗攻击

    对开源视觉购物智能体实施商品图对抗攻击并诱导买错

    arXiv
    2603.16960
    Published
    Layer
    Application layer
    Setting
    web agent
    Evaluated models
    LLaVA-v1.5-7B, Qwen2.5-VL-7B
    Abstract作者称 LLaVA 易被三种攻击诱导买错，Qwen 正确购买率仍接近其干净条件。

    作者在自建电商环境里比较两个开源 VLM 购物智能体对图像对抗扰动的鲁棒性。

    Paper analysisRead analysis
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