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Oct 12 · Monday

All papers

Found 2 papers
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Defense type

Model hardening13Detection and filtering4Instruction–data separation2Monitoring and auditing3

Attack surface / entry point

User input14Web pages and interfaces18Documents and messages12Tool responses24Tool and skill descriptions12Memory writes5Inter-agent messages4Weights and gradients0Distribution channels5Inference services and hardware2
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Defense type：Instruction–data separationAttack surface / entry point：Weights and gradientsAttack surface / entry point：Inference services and hardwareClear all

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  2. DefensesarXiv 2608.25431

    GIFT：通过 GPU 信息流追踪在 LLM 服务中实现用户数据隔离

    提出 GIFT，用加密与 GPU 信息流跟踪隔离共享 LLM 服务中的用户数据

    arXiv
    2608.25431
    Published
    Layer
    Infrastructure layer
    Setting
    Models and APIs
    Evaluated models
    Qwen2.5-14B, Qwen2.5-32B, Qwen2.5-72B and others6
    AbstractGIFT 以加密隔离加 GPU 信息流规则，在 vLLM 与 DistServe 上强制用户数据隔离，并报告了吞吐开销。

    GIFT 是作者为共享 LLM serving 做的用户数据隔离系统，并有启用机密计算的 GIFT-CC。作者在结论中称它是该场景的首个 IFT 设计。

    Paper analysisRead analysis
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