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Oct 12 · Monday

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  1. AttacksarXiv 2609.02414

    Blueprint 框架用世界观模拟与 18 个影响因子提升多轮越狱成功率

    提出多轮越狱框架 BLUEPRINT,用世界观模拟与心理因素诱导有害输出

    Published
    Attacker
    Black-box
    Evaluated models
    Qwen3-Next-80B, DeepSeek-V3.2, GLM-4.7 and others6
    AbstractBLUEPRINT 解耦多轮越狱策略与情境模拟,揭示任务具象化是摆脱拒绝的核心机制,为多轮安全防御提供新视角。

    BLUEPRINT 是一个将因子化社会影响力策略空间与跨轮世界观模拟解耦的多轮大语言模型安全评测框架。

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  2. AttacksarXiv 2604.24082

    研究者提出意图伪装多轮越狱方法,可攻破 GPT-5-thinking 与 Claude-Sonnet-4.5

    提出多轮意图欺骗越狱 iDecep,用良性意图伪装引出有害内容

    Published
    Attacker
    Black-box
    Evaluated models
    GPT-4o, Gemini-2.5-Flash, Claude-Sonnet-4.5 and others4
    AbstractiDecep 用意图欺骗做多轮越狱,在 GPT-5 与 Claude-Sonnet-4.5 上同时测到直接成功和 para 成功。

    iDecep 是一种黑盒多轮越狱:用表面良性的意图维持与恶意目标贴近的对话,并单独计入 safe completion 替代内容中的有害信息。。

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  3. AttacksarXiv 2603.20198

    研究者提出 MM-Plan 多模态越狱框架

    提出 MM-Plan 多模态越狱框架,自动规划多轮图像编辑以越狱视觉独占目标

    Published
    Attacker
    Black-box
    Evaluated models
    Llama-3.2-11B, InternVL3-8B, Qwen3-VL-8B and others8
    Abstract作者称全局规划能攻破对单轮攻击更稳的前沿 MLLM。

    MM-Plan 是面向 Visual Exclusivity 的 black-box 多模态红队方法,并配有人工基准 VE-Safety。

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  4. AttacksarXiv 2601.02670

    SLIP:无需外部攻击模型的多轮自我越狱

    提出无外部攻击模型的多轮自我越狱方法 SLIP

    Published
    Attacker
    Black-box
    Evaluated models
    GPT-5.1, GPT-4o, Claude-Sonnet-4.5 and others11

    Abstract论文提出了无外部攻击模型的自我越狱方法 SLIP,指出对齐模型内在能力抑制的漏洞并设计了语义漂移防御。

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