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Oct 12 · Monday

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Found 1 paper
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Attack type

Prompt injection10Extraction and theft1

System type

Models and APIs6LLM applications1
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Attack type：Extraction and theftSystem type：LLM applicationsClear all

Another 265papers do not have category tags yet and are not included in filtered results.

  1. Evaluation and benchmarksarXiv 2606.18673

    理解并缓解真实世界 LLM 应用中的提示词泄露攻击

    提出软提示防御 AREA，重锚定注意力以缓解系统提示泄露

    arXiv
    2606.18673
    Published
    Layer
    Application layer
    Setting
    LLM applications
    Attacker
    Black-box
    Evaluated models
    Llama-2-7B-chat-hf, Llama-3.1-8B-Instruct, Mistral-7B-Instruct-v0.3 and others8
    Abstract作者测量商用提示词泄漏，提出 attention drift，并用 AREA 在可用性与抗泄漏间取折中。

    作者研究真实 LLM 应用中的 system prompt 泄漏，并给出不改权重的缓解方法 AREA。

    Paper analysisRead analysis
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