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Oct 13 · Tuesday

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  1. 论文揭示大推理模型的对齐崩溃并提出 Reasoning Trap 越狱范式

    揭示推理加深引发的对齐坍塌,用 Reasoning Trap 放大越狱

    Published
    Evaluated models
    Qwen3-8B, Qwen3-14B, Llama2-7B and others8
    Abstract更深推理提升题目准确率,同时提高扰动下的相对损失。

    作者研究扩展推理是否以对齐稳健性为代价,提出 ALR、RT 与 RRA。。

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  2. AttacksarXiv 2603.01414

    Jailbreaking embodied LLMs via action-level manipulation

    Propose Blindfold, jailbreaking embodied LLMs with action-level manipulation

    Published
    Evaluated models
    Llama-3.1-8B, DeepSeek-R1-14B, Gemma-3-27B and others8
    AbstractBlindfold jailbreaks embodied LLMs with action-level proxy planning, and the authors claim it can bypass semantic checks and is effective in both simulation and real-world settings.

    Blindfold is a no-box attack against embodied LLM planning modules, rewriting malicious intent into seemingly benign action sequences.

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  3. AttacksarXiv 2603.12277

    Prompt injection is role confusion

    提出 CoT Forgery,经用户消息或工具输出注入伪造推理

    Published
    Setting
    AI Agent
    Attacker
    Black-box
    Evaluated models
    gpt-oss-20b, gpt-oss-120b, o4-mini and others11
    Abstract提示注入被作者解释为角色感知失败:听起来像某角色,就在表示里成为该角色。

    作者把提示注入解释成角色感知失败:标签划出的权限没有进入模型的内部几何。

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