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Oct 12 · Monday

All papers

Found 4 papers
Filter5

Attack type

Jailbreaks2Prompt injection13Extraction and theft1Malicious use1

Attack technique

Cross-modal payloads3

System type

LLM applications3

Attacker access

Black-box3

Attack surface / entry point

User input61Documents and messages3Tool responses15Tool and skill descriptions5Code repositories and dependencies4Memory writes3Inter-agent messages6Images, audio and video4

Layer

Prompt layer46Model layer9Application layer4

System component

Multimodal4
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 240papers have no tags yet and are not included in filtered results.
Attack type：JailbreaksAttack type：Extraction and theftAttack type：Malicious useAttack surface / entry point：Images, audio and videoLayer：Application layerClear all

Another 240papers do not have category tags yet and are not included in filtered results.

  3. DefensesarXiv 2603.01544

    RA-Det：利用鲁棒性不对称检测 AI 生成图像

    提出 RA-Det，利用鲁棒性不对称检测 AI 生成图像

    arXiv
    2603.01544
    Published
    Layer
    Application layer
    Setting
    LLM applications
    AbstractRA-Det 把扰动下特征漂移差变成检测信号，平均 ACC 高于表中通用检测器，但不是每行最高。

    RA-Det 是合成图像检测器，用扰动下的表示稳定性差异代替外观痕迹。

    Paper analysisRead analysis
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