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Oct 13 · Tuesday

All papers

Found 2 papers
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System type

Models and APIs2coding agent0

Attacker access

Black-box2

Layer

Prompt layer101Model layer15Application layer3Training and data layer11Infrastructure layer2
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System type：Models and APIsSystem type：coding agentAttacker access：Black-boxLayer：Infrastructure layerClear all

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  1. AttacksarXiv 2610.06848

    TranScope：利用 CPU 性能计数器对 Transformer 做成员推断攻击

    提出 TRANSCOPE，用 CPU 硬件计数器推断训练集成员

    arXiv
    2610.06848
    Published
    Layer
    Infrastructure layer
    Setting
    Models and APIs
    Attacker
    Black-box
    Evaluated models
    BERT (4.4M-340M), ViT (22M-307M), Pythia (70M-2.8B) and others5

    AbstractTRANSCOPE 揭示了分词器在嵌入表引发的硬件访问局部性差异，证实微架构计数器可突破恒定时间与置信度遮蔽防御。

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  2. AttacksarXiv 2602.20595

    OptiLeak: Efficiently Reconstructing Prompts with Reinforcement Learning in Multi-Tenant LLM Services

    Proposing OPTILEAK, reconstructing others' prompts token-by-token via a KV cache side channel

    arXiv
    2602.20595
    Published
    Layer
    Infrastructure layer
    Setting
    Models and APIs
    Attacker
    Black-box
    Evaluated models
    Qwen-2.5-3B-Instruct, Qwen-2.5-7B-Instruct, Qwen-2.5-14B-Instruct and others4

    AbstractOPTILEAK uses SFT and hard-token DPO to reduce the number of requests per token; the authors claim the risk of cache prompt leakage is higher than previously reported.

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