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Oct 12 · Monday

Jailbreaks and attacks · Papers

Found 3 papers
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Jailbreaks6Model tampering3

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Harmful content3

System type

Models and APIs3

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Weights and gradients3
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Attack type：Model tamperingAttack surface / entry point：Weights and gradientsTopic: Jailbreaks and attacksClear all
  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。

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  3. AttacksarXiv 2509.22067

    论文：激活引导可破坏 LLM 安全对齐，20 个随机向量即可构造通用越狱攻击

    提出激活转向越狱，用随机向量在推理时绕过安全拒答

    arXiv
    2509.22067
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Attacker
    Black-box
    Evaluated models
    Llama3.1-8B, Llama3.1-70B, Qwen2.5-3B and others8

    Abstract作者称激活转向会系统性破坏 LLM 对齐，良性特征与随机向量均能诱发有害合规，聚合随机向量可构建通用攻击。

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