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Oct 12 · Monday

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  1. DefensesarXiv 2610.08678

    研究揭示投机解码的安全代价并提出 SecureSD 加固方法

    测量有损投机解码的安全代价,并提出 SecureSD 收紧早期验证

    Published
    Setting
    AI Agent
    Attacker
    Black-box
    Evaluated models
    Qwen3-8B, Qwen3-32B, Llama-3.1-8B-Instruct and others6
    Abstract有损推测解码的早期偏离更快抬高越狱与注入风险。

    作者研究有损推测解码在换取速度时,是否会比效用更快地损害越狱与提示注入防护,并给出按位置校正的 SecureSD。

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  2. 研究者提出统一滥用监控基准,覆盖分解攻击与提示注入约 6200 条轨迹

    提出危害窗口与区间指标,统一评测分解攻击和提示注入下的智能体滥用监视

    Published
    Setting
    AI Agent
    Evaluated models
    Gemma 4 26B-A4B, Qwen3.6 27B, Qwen3.5 27B and others12

    Abstract统一智能体滥用监视框架,动作视角兼顾两类威胁但危害定位仍存瓶颈。

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  3. CART:面向大语言模型的闭环自适应红队框架

    提出闭环自适应红队框架 CART,评测模型与 Agent 的安全失败

    Published
    Setting
    AI Agent
    Evaluated models
    Claude Opus 4.8, GPT-5.5, Grok 4.3 and others7
    AbstractCART 把红队做成可审计的闭环搜索,在三类评测上比静态回放发现更多失败与更高平均风险。

    CART 把自动红队从一次清单式打分,改成带预算、可追溯的闭环搜索。

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  4. DefensesarXiv 2606.08234

    SciTrace:面向科学发现智能体的轨迹感知安全推理框架

    提出 SciTrace,为科学发现智能体加入跨阶段安全推理与工具轨迹核验

    Published
    Evaluated models
    Llama-3.1-70B-Instruct, Qwen2.5-72B-Instruct, DeepSeek-V3 and others4
    AbstractSciTrace 把安全推理织入科学智能体各阶段,在 SciSafetyBench 上提高安全指标并保持输出质量。

    SciTrace 是加在科学发现智能体流水线上的安全框架,不是再在各阶段出口放一个独立过滤器。

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  5. DefensesarXiv 2505.23559

    SafeScientist:让 LLM 智能体的科学发现具备风险意识

    提出 SafeScientist 四层监控,阻止科研智能体执行高风险或不伦理任务

    Published
    Evaluated models
    GPT-4o, GPT-4.1, GPT-3.5-turbo and others5
    Abstract四层监控加科研安全基准。

    SafeScientist 是带四层监控的科研智能体框架,并用 SciSafetyBench 评测科学场景中的任务安全。

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