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Oct 12 · Monday

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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

    Published
    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。

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  2. DefensesarXiv 2610.03434

    Persona Guardrail:面向智能体系统的生产级防御框架

    提出 Persona Guardrail,强制客服智能体守住功能边界

    Published
    Setting
    AI Agent
    Attacker
    Black-box
    Evaluated models
    Qwen3-30B-A3B, Qwen3-VL-30B, Qwen3-8B and others5
    AbstractPersona Guardrail 用功能边界做同步输入输出校验,并在 PAGE 与生产延迟预算下给出评测。

    Persona Guardrail 是客服向智能体的同步运行时防御:先写明功能边界,再决定放行或拦截,而不是只检测某一攻击类。

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  3. 多智能体协同过滤系统的连接性攻击与防御研究

    复现 AgentCF 上的多智能体攻防并刻画连通性作用

    Published
    Evaluated models
    Qwen3-235B-A22B, Claude Haiku 4.5, Mixtral 8×7B and others4
    Abstract连通性沿 k 与ρ改变攻防,且用户/物品与早期/稳态需要分开看。

    作者在 AgentCF 上研究连通性如何改变多智能体协同过滤的攻防,复现已有方法而不是提出新载荷。

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