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Oct 12 · Monday

All papers

Found 22 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 2610.05894

    研究者提出闭环偏见注入攻击

    提出闭环激活引导,在扩散语言模型去噪过程中注入定向偏见

    Published
    Attacker
    Gray-box
    Evaluated models
    LLaDA-8B-Instruct, Dream-v0-Instruct-7B, LLaDA-MoE-7B-A1B-Instruct

    Abstract通过去噪中间概率反馈动态调节残差流转向,证明扩散语言模型在推理服务栈中存在闭环偏见注入脆弱性。

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  4. HXAI:分布式能源系统中的分层隐私保护可解释 AI 框架

    提出 HXAI 分层隐私解释框架,本地保留细解释并只发布加噪摘要

    Published
    Evaluated models
    gradient-boosted tree regression models
    AbstractHXAI 把无噪声局部 SHAP 留在家庭内,只聚合差分隐私摘要。

    HXAI 是面向分布式能源系统的分层隐私保护解释框架,服务规划、监测与诊断,而不是实时控制。

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  5. DefensesarXiv 2610.02349

    MIRROR:面向多智能体通信的法定人数完整性防御

    提出 MIRROR,用多路径摘要多数表决保障多智能体通信完整性

    Published
    Evaluated models
    Gemma-4-31B-it, Gemini 2.5 Pro
    AbstractMIRROR 靠多数路径。

    MIRROR 是 LLM 多智能体通信层上的多路径法定人数完整性原语,只处理不透明字节,不解释消息内容。要处理的是 Agent-in-the-Middle:中介合法终结 TLS 后可改在途消息,而语义校验有推理开销和误拦,签名又要求私钥管理。做法是生成结束后复制同一规范化载荷。

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  6. DefensesarXiv 2609.01931

    Agent Flight Recorder:为长时程工具调用智能体提供链上锚定的防篡改审计追踪

    提出 Agent Flight Recorder,为长时程工具智能体构建链上锚定的防篡改审计追踪

    Published
    Setting
    AI Agent
    Abstract语义事件加哈希链、Merkle 与链上锚定,用来在争议中核验长程智能体的动作序列。

    Agent Flight Recorder 把长程工具智能体的动作收成可被第三方独立核验的审计记录,面向运营方本身可能改写历史的争议。

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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 2606.11817

    研究:语法约束解码可越狱 LLM 生成恶意代码,并提出 CodeShield 防御

    提出 CodeSpear 越狱,借语法约束解码生成恶意代码,并给出 CodeShield 防御

    Published
    Attacker
    Black-box
    Evaluated models
    Qwen2.5-Coder-7B, Qwen2.5-Coder-32B, Qwen2.5-7B and others10

    Abstract论文发现语法约束解码会破坏自然语言安全对齐,提出 CodeSpear 越狱攻击与基于蜜罐代码对齐的 CodeShield 防御。

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  10. AttacksarXiv 2605.30040

    研究揭示 LLM 按 token 计费可被服务商系统性虚报

    构造可通过计费审计的 token 虚报,使服务商系统性超收

    Published
    Evaluated models
    PALACE domain-adapted auditor
    Abstract不诚实提供方可在三种 token 审计上虚报并通过检查,作者认为需改用提供方不控制的证据。

    不透明 LLM 的按 token 计费里,现有审计核验的是提供方可控的证据,不诚实提供方可以虚报并通过检查。。

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  11. AttacksarXiv 2605.08313

    研究者提出 SeedHijack 攻击,劫持 LLM 采样随机数种子

    提出 SeedHijack,劫持采样 PRNG 以强制选定 token

    Published
    Evaluated models
    GPT-2 (124M), Qwen2-1.5B-Instruct, DeepSeek-R1-1.5B and others5
    Abstract采样层 PRNG 被替换以强制选 token。

    SeedHijack 把 LLM 采样用的 PRNG 输出换成攻击者选定的数,从而指定下一个 token。权重、输入和 logits 都不改。防御是用硬件 QRNG 替换该随机源。

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  12. DefensesarXiv 2603.10726

    PrefixWall: Mitigating Prefix Cache Side Channels in Shared LLM Systems

    Proposes PrefixWall, which selectively isolates shared prefixes to mitigate timing side channels

    Published
    Evaluated models
    gemma-3-4b-it, llava-onevision-qwen2-0.5b-ov-hf, llava-onevision-qwen2-7b-ov-chat-hf and others9
    AbstractPrefixWall uses cache metadata to selectively cut off cross-user prefix continuation, preserving APC while limiting the TTFT side channel.

    PrefixWall is a system-level defense for multi-tenant LLM services that limits the TTFT side channel of Automatic Prefix Caching while preserving prefix reuse.

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  13. AttacksarXiv 2602.20595

    OptiLeak:在多租户 LLM 服务中用强化学习高效重建提示词

    提出 OPTILEAK,经 KV 缓存侧信道逐 token 重建他人提示

    Published
    Attacker
    Black-box
    Evaluated models
    Qwen-2.5-3B-Instruct, Qwen-2.5-7B-Instruct, Qwen-2.5-14B-Instruct and others4

    AbstractOPTILEAK 用 SFT 与 hard-token DPO 降低每 token 请求数,作者称缓存提示泄露的风险高于先前报告。

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  14. AttacksarXiv 2602.17837

    TFL: Targeted Bit-Flip Attack against Large Language Models

    提出 TFL 定向比特翻转,使选定提示输出虚假答案且无关查询保持正确

    Published
    Evaluated models
    Qwen3-8B, DeepSeek-R1-Distill-Qwen-14B, LLaMA-3.1-8B-INSTRUCT
    AbstractTFL 在三个 LLM 上搜索权重比特,使指定提示出现目标关键词,并约束无关任务下降。

    TFL 是对 LLM 主存权重的目标比特翻转框架:攻击者要让选定提示输出指定虚假答案关键词,同时限制无关查询上的降质。

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  15. DefensesarXiv 2601.21189

    Adaptive robust cost-aware Proof of Quality for decentralized LLM inference networks

    为去中心化 LLM 推理网络提出稳健成本感知 PoQ,抵御恶意评估者操纵分数

    Published
    Evaluated models
    llama 3 2 3b, gemma 2 2b it, tinyllama 1 1b and others10
    Abstract成本感知 PoQ 加入稳健共识。

    这篇扩展工作把成本感知 Proof of Quality 的共识层改成能承受恶意评估分数的形式,奖励仍同时看输出质量与延迟成本。

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