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Oct 12 · Monday

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  1. DefensesarXiv 2609.14003

    FlowSeal:用信息流控制阻断 LLM Agent 的隐私泄露

    提出 FLOWSEAL,用工具级信息流控制阻断智能体隐私泄露

    Published
    Setting
    AI Agent
    Evaluated models
    DeepSeek-V3.2, GPT-4.1-mini, Gemini-Flash-2.5

    Abstract作者分析大模型智能体隐私检查与攻击面重合问题,提出外部拦截防御 FLOWSEAL 并验证有效性。

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  2. ACEA:面向红蓝队对抗的 LLM 协同演化测试平台

    提出红蓝对抗评测平台 ACEA,分开计量攻击强度与防御效果

    Published
    Evaluated models
    openai/gpt-4o, google/gemini-2.5-pro, google/gemma-3-27b-it and others5
    AbstractACEA 用 ASAP 让红蓝对同一目标对打。

    ACEA 是让可插拔红队和蓝队共享一个目标 LLM 的对打场地,把攻击强度和防御效果分开记分。作者要补三处空缺:双方只能对着固定对手分开练。LLM judge 分不清真实泄露和幻觉,拦截后又看不到攻击有多强。

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  3. AttacksarXiv 2606.09084

    研究者提出 Context-Fractured Decomposition 攻击

    提出 CFD 跨会话分解攻击,利用工件来源缺口绕过工具型 Agent 的本地检查

    Published
    Setting
    AI Agent
    Evaluated models
    GPT-4.1, GPT-5-nano, Claude-3.5-Sonnet and others6
    AbstractCFD 用无指令 artifact 把越狱拆到跨会话。

    CFD针对工具型 LLM 智能体:利用 artifact 来源不被跟踪这一部署失败模式,把有害目标拆开后延迟组合。

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