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Oct 12 · Monday

All papers

Found 1 paper
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Attack technique

Gradient and representation optimization7Automated search1Cross-modal payloads11

Attack surface / entry point

User input19Web pages and interfaces7Documents and messages12Tool responses20Tool and skill descriptions17Code repositories and dependencies6Retrieval corpus5Memory writes4Images, audio and video1Training data0Distribution channels13

Layer

Prompt layer12Application layer1
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Attack technique：Automated searchAttack surface / entry point：Images, audio and videoAttack surface / entry point：Training dataLayer：Application layerClear all

Another 233papers do not have category tags yet and are not included in filtered results.

  1. AttacksarXiv 2609.04533

    Repeat-After-Me：针对黑盒 VLM 的自适应视觉提示注入攻击

    提出 Repeat-After-Me 自适应视觉提示注入，诱导 VLM 智能体执行指定任务

    arXiv
    2609.04533
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Claude-Opus-4.7, GPT-5.5, Gemini-3.1-Pro and others6

    Abstract论文提出了针对黑盒 VLM 的前缀诱导自适应视觉提示注入，在多款模型上诱发了工具调用与隐私泄露。

    Paper analysisRead analysis
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