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Oct 12 · Monday

All papers

Found 1 paper
Filter4

Attack technique

Encoding and obfuscation0Role-play and persuasion1

Attacker access

Black-box3Gray-box1

Layer

Application layer1
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Attack technique：Encoding and obfuscationAttack technique：Role-play and persuasionAttacker access：Gray-boxLayer：Application layerClear all

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  1. AttacksarXiv 2610.04985

    研究揭示 Jev 作为应用决策层的安全与隐私风险

    评估应用决策层的输入注入与隐私推断风险

    arXiv
    2610.04985
    Published
    Layer
    Application layer
    Setting
    LLM applications
    Attacker
    Black-box, Gray-box
    Evaluated models
    Jev, NanoJev
    AbstractJev 的类型化决策可被输入与训练操纵，也会泄露信息，并同时支持检测与滥用。

    Jev 是 TypeSafe 的 System One 模型，把应用 state 和固定问题变成 Choice、Noul 或 Score 的类型化决策与概率。作者用官方 API 和可改训练的 NanoJev，考察它作为决策层时的操纵、泄露与双重用途。

    Paper analysisRead analysis
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