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Oct 12 · Monday

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  1. 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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  2. DefensesarXiv 2609.04767

    SHAQ:用影子查询实现向量数据库中的隐私检索

    提出 SHAQ,用影子查询嵌入替换文档嵌入以抵御嵌入反演

    Published
    Attacker
    Black-box
    Evaluated models
    GTR-T5 encoder, DPR
    AbstractSHAQ 用影子查询嵌入替换文档嵌入。

    SHAQ 是面向云端向量库 EIA 的防御:不直接改文档嵌入,而用影子查询嵌入替换它们。

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  3. DefensesarXiv 2609.01677

    Skill-as-API:面向智能体软件工程的机密多智能体协作协议

    提出 Skill-as-API,隔离多智能体协作中的 skill 正文与系统提示词

    Published
    Abstract协议把 skill 正文留在所有者侧,四层限制发现内容、权限期限和注入拼接。

    Skill-as-API 是面向智能体软件工程的协调协议,用来在跨组织调用时把 skill 的代码和系统提示词留在所有者进程。作者针对三条威胁:经通道或命名空间抽取专有方法,用注入让被调用模型输出系统提示词,以及协作结束后权限继续保留。

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  4. DefensesarXiv 2606.18673

    Understanding and mitigating prompt leakage attacks in real-world LLM applications

    Propose soft prompt defense AREA, re-anchoring attention to mitigate system prompt leakage

    Published
    Attacker
    Black-box
    Evaluated models
    Llama-2-7B-chat-hf, Llama-3.1-8B-Instruct, Mistral-7B-Instruct-v0.3 and others8
    AbstractThe authors measure commercial prompt leakage, propose attention drift, and use AREA to strike a trade-off between usability and leakage resistance.

    The authors study system prompt leakage in real LLM applications and propose AREA, a mitigation method that does not modify weights.

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  5. DefensesarXiv 2605.19847

    论文揭示多租户 RAG 账号合谋使隐私泄露随账号数线性增长

    提出零知识审计协议,核验多租户 RAG 的合谋差分隐私

    Published
    Abstract揭示多租户 RAG 合谋泄露按根号 k 放大,提出带零知识证明的无泄露审计协议。

    论文针对多租户 RAG 服务在多账户协同攻击下隐私边界失效的问题展开研究。

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  6. DefensesarXiv 2605.11036

    SeqWM:面向 LLM 智能体的序列行为水印框架

    提出 SeqWM,把水印写入智能体动作转移并用随机密钥检测

    Published
    Setting
    AI Agent
    Evaluated models
    LLaMA-3.2 3B Instruct, Gemma 4 E4B-it, Qwen3-4B Instruct
    AbstractSeqWM 以条件转移嵌行为水印。

    SeqWM 是给 LLM 智能体动作序列加水印的框架,用来在只看到动作时判断轨迹是否来自持有密钥的带水印源。

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