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Oct 12 · Monday

All papers

Found 1 paper
Filter4

Attack technique

Gradient and representation optimization1

Attack surface / entry point

User input15Memory writes0Images, audio and video23Weights and gradients1

Layer

Prompt layer1Model layer9
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Attack technique：Gradient and representation optimizationAttack surface / entry point：Memory writesAttack surface / entry point：Weights and gradientsLayer：Prompt layerClear all

Another 254papers do not have category tags yet and are not included in filtered results.

  1. AttacksarXiv 2608.07430

    研究者提出 SN-Guided Diffusion，利用扩散大模型安全神经元实现离线越狱

    提出 SN-Guided Diffusion，利用安全神经元实现离线越狱

    arXiv
    2608.07430
    Published
    Layer
    Prompt layer
    Setting
    Models and APIs
    Attacker
    Black-box, White-box
    Evaluated models
    Qwen2.5-7B-Instruct, LLaDA-8B-Instruct, Dream-Instruct-7B and others15
    Abstract论文揭示了扩散语言模型对自回归安全神经元的继承性，并提出纯离线黑盒越狱框架 SN-Guided Diffusion。

    论文系统评估了扩散大语言模型（DLLM）在安全对齐中的双重角色——既作为白盒攻击目标，又作为黑盒越狱生成的对抗工具。

    Paper analysisRead analysis
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