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Oct 12 · Monday

All papers

Found 25 papers

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  1. AttacksarXiv 2610.09981

    研究:LLM 路由决策日志可推断用户医疗、自伤等敏感话题

    提出利用路由元数据推断敏感话题的侧信道攻击

    Published
    Evaluated models
    RouteLLM (BERT router), notdiamond-0001, Vela (vLLM Semantic Router)

    Abstract论文揭示并测量了 LLM 路由决策在无文本日志中的敏感话题泄露,验证了按类别公平性防御的有效性与边界。

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  2. 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

    Published
    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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  3. AttacksarXiv 2609.14649

    CIG-MIA:利用上下文信息增益对 RAG 系统发起成员推断攻击

    提出 CIG-MIA,用上下文信息增益推断 RAG 知识库成员身份

    Published
    Evaluated models
    Llama-3.1-8B-Instruct, Mistral-7B-Instruct-v0.3, Llama-2-13b-chat-hf and others6
    AbstractCIG-MIA 用注入前后的答案似然差推断 RAG 库成员,灰盒可分性高于所列基线。

    CIG-MIA 是针对 RAG 外部知识库的成员推断攻击,同时覆盖灰盒和纯文本黑盒。

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  4. 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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  5. DefensesarXiv 2609.04767

    SHAQ: Privacy-preserving retrieval in vector databases using shadow queries

    Proposes SHAQ, which replaces document embeddings with shadow query embeddings to defend against embedding inversion.

    Published
    Attacker
    Black-box
    Evaluated models
    GTR-T5 encoder, DPR
    AbstractSHAQ replaces document embeddings with shadow query embeddings.

    SHAQ is a defense against EIA for cloud vector databases: instead of directly modifying document embeddings, it replaces them with shadow query embeddings.

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  6. 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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  7. DefensesarXiv 2608.25431

    GIFT: Enforcing User Data Isolation in LLM Serving via GPU Information Flow Tracking

    Propose GIFT, isolating user data in shared LLM serving using encryption and GPU information flow tracking

    Published
    Evaluated models
    Qwen2.5-14B, Qwen2.5-32B, Qwen2.5-72B and others6
    AbstractGIFT uses cryptographic isolation plus GPU information flow rules to enforce user data isolation on vLLM and DistServe, and reports throughput overhead.

    GIFT is the authors' user data isolation system for shared LLM serving, with GIFT-CC enabling confidential computing. In the conclusion, the authors state it is the first IFT design for this scenario.

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  8. AttacksarXiv 2608.17485

    KeyPooling: Measuring where LLM API relay paths break prompt cache isolation

    Proposing KeyPooling to measure where API relays break prompt cache isolation

    Published
    Evaluated models
    grok-4-fast-non-reasoning, grok-4-1-fast-non-reasoning, grok-3 and others11
    AbstractShared upstream credentials place relay customers in the same cache domain; preserving identity or separate principals can separate them.

    KeyPooling measures where LLM API relays drop customer identity, causing prompt caches to no longer be isolated per downstream customer.

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  9. AttacksarXiv 2608.04192

    研究者提出 SkillClone,仅凭正常提问即可克隆 LLM Agent 隐藏技能功能

    提出 SkillClone,仅凭良性任务交互重构闭源 Agent 技能

    Published
    Setting
    AI Agent
    Attacker
    Black-box
    Evaluated models
    DeepSeek-Flash, DeepSeek-Pro, GLM-5.1 and others5
    Abstract论文揭示了仅靠良性任务交互即可重构闭源智能体技能隐藏功能的风险,表明功能保密需要限制累积信息泄露。

    论文从功能保密视角系统研究了大语言模型智能体技能的行为重构威胁。

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  10. AttacksarXiv 2607.25560

    SigLeak 可从执行轨迹推断专有 Agent 技能

    提出 SigLeak,从黑盒 Agent 执行轨迹推断专有技能

    Published
    Setting
    AI Agent
    Attacker
    Black-box
    Evaluated models
    GPT-5.4-mini, GPT-5.5, GLM-5.2 and others4

    Abstract提出了通过良性查询和对照轨迹推断黑盒专有技能的 SigLeak 框架,揭示了智能体执行可见性带来的行为侧信道泄露风险。

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  11. AttacksarXiv 2607.01276

    研究者提出嵌入推断攻击 EIA,可在黑盒 IR 系统中识别所用嵌入模型

    提出嵌入推断攻击 EIA,在黑盒 IR 中识别所用嵌入模型

    Published
    Attacker
    Black-box
    Evaluated models
    e5-small, e5-small-v2, e5-base and others19
    AbstractEIA 用无序文档集的差异从候选中识别嵌入模型,并给出 reranker 与阈值下的计数。

    EIA 是在黑盒 IR 上识别所用嵌入模型的攻击。。

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  12. 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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  13. 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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  14. 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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