Skip to content

Translation in progress Some entries still include text in the original language.

Oct 12 · Monday

All papers

Found 1 paper
Filter3

Attack type

Detection evasion1

Attack surface / entry point

User input3Documents and messages8Images, audio and video9Weights and gradients3Inference services and hardware1

Layer

Model layer1
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 261papers have no tags yet and are not included in filtered results.
Attack type：Detection evasionAttack surface / entry point：Inference services and hardwareLayer：Model layerClear all

Another 261papers do not have category tags yet and are not included in filtered results.

  1. AttacksarXiv 2601.04261

    针对大语言模型后门指纹的抑制攻击

    提出 TFA 与 SVA，抑制 ensemble 后门指纹验证

    arXiv
    2601.04261
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Evaluated models
    LLaMA2-7B, LLaMA3.1-8B-It, Qwen2.5-7B and others11
    Abstract两种 ensemble 攻击 TFA/SVA 抑制后门指纹。

    TFA 与 SVA 是针对后门式 LLM 指纹的 ensemble 抑制攻击，不改模型参数。所有者用 SFT 写入秘密对，只通过 API 验证版权。攻击者未授权取得模型，不知道触发和指纹，却要把每个模型的验证变成失败，同时让 ensemble 至少不差于性能最高的单模型。

    Paper analysisRead analysis
You have reached the end