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Oct 12 · Monday

All papers

Found 2 papers
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Attack technique

Gradient and representation optimization2

Attacker access

Black-box4White-box4No-box (offline transfer)2

System component

Memory0Embeddings0Multimodal2
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Attack technique：Gradient and representation optimizationAttacker access：No-box (offline transfer)System component：MemorySystem component：EmbeddingsSystem component：MultimodalClear all

Another 240papers do not have category tags yet and are not included in filtered results.

  2. AttacksarXiv 2602.09431

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

    Propose GDA, which aligns image adversarial perturbations with text-grounded evidence and transfers attacks to vision-language models

    arXiv
    2602.09431
    Published
    Layer
    Prompt layer
    Setting
    Models and APIs
    Attacker
    No-box (offline transfer)
    Evaluated models
    LLaVA, Qwen2.5-VL, InternVL3 and others10
    AbstractGDA aligns perturbations with text-grounded evidence, and the authors say this improves zero-query black-box transferability on heterogeneous LVLMs.

    GDA is a zero-query black-box encoder transfer attack for heterogeneous LVLMs.

    Paper analysisRead analysis
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