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Oct 12 · Monday

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  1. AttacksarXiv 2609.10117

    研究揭示基于混淆的端侧 LLM 保护方案的安全边界

    提出 Collapse,从端侧混淆暴露视图抽取高效用替代模型

    Published
    Evaluated models
    BERT-Base, ViT-Base, Qwen2.5-0.5B and others4
    AbstractOprior 是四原语复合的安全边界,Collapse 利用列方向泄漏抽取替代模型,Oext 只被同一攻击评测。

    这篇工作用代数原语统一若干 TEE 卸载混淆,给出该族的典范边界,再说明该边界挡不住一种分阶段模型抽取。。

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  2. AttacksarXiv 2603.11132

    WebWeaver:以隐蔽的上下文推断攻破 LLM 多智能体系统拓扑机密性

    提出 WebWeaver ,只攻陷单个智能体并从对话上下文恢复多智能体通信拓扑

    Published
    Evaluated models
    Llama 3.1 8B, Qwen 2.5 7B, Mistral NeMo 12B and others6
    AbstractWebWeaver 用上下文推断拓扑。

    WebWeaver 是针对 LLM-MAS 通信拓扑机密性的推断攻击:只控制一个任意智能体,从对话上下文恢复全图,而不是查询智能体 ID。

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