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Oct 12 · Monday

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  1. Attention sees, MLP refuses: tracing the safety pathway from attention to MLP in LLMs

    Trace attention to identify harmfulness to the MLP refusal write pathway and propose Sentinel

    Published
    Evaluated models
    Llama-3.1-8B-Instruct, Qwen2.5-7B-Instruct, Qwen3-8B-Instruct and others18
    AbstractAttention updates are more readable for harmfulness, MLP updates write refusal, and Sentinel routes alerts using two-path signals.

    The authors reframe jailbreaking and excessive refusal of aligned models as a pathway problem on the residual stream from recognition to writing, and accordingly provide conditional reminders before decoding.

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  2. DistressBench: Evaluating multi-dimensional crisis support in large language models

    Introduces DistressBench, evaluating models' multidimensional support in crisis conversations

    Published
    Evaluated models
    Muse Spark 1.2, Muse Spark 1.3, Muse Glimmer 30B and others20
    AbstractThe model is more restrained and acts less.

    DistressBench uses SSH dialogues written and revised by clinical personnel, and evaluates how much necessary care general chat models deliver according to weighted atomic criteria, rather than whether they refuse. When users disclose suicidal ideation or self-harm to a chat model, the authors consider the expected behavior to be recognizing the crisis, calibrating empathy, de-escalating, and referring to human help. Refusal-based evaluations cannot detect failing to act after recognizing the crisis.

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  3. 研究提出 Agent 安全新维度:识别未履行的安全义务

    提出义务识别基准 ObligationBench,并训练护栏识别 Agent 未履行的安全义务

    Published
    Evaluated models
    ObligationGuard, Claude-Opus-4.8, GPT-5.6-Sol and others17
    Abstract义务是护栏缺口。

    作者认为编码智能体的安全不能只靠拦截禁止动作,还要找出终止时仍未做的安全关键动作,并将其称为义务。

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  4. Too many skills: how co-installed skills conflict in coding agents

    评测编码 Agent 中相似技能共同安装对已装技能核心功能的替代

    Published
    Evaluated models
    claude-sonnet-4-6, claude-haiku-4-5-20251001, claude-opus-5 and others6
    Abstract冲突藏在任务成功后面。

    作者对共同安装、做同一件事的良性 skill 做实证研究,用核心功能是否还在,而不是任务过不过,来看冲突。。

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  5. Workerville: Toward an Organizational Behavior Explanation of Agent Safety

    构建 Workerville 基准,测量组织条件如何改变 Agent 的安全行为

    Published
    Setting
    AI Agent
    Evaluated models
    GPT-5.2, Claude-Sonnet-4.6, Gemini-3.1-Pro and others6
    Abstract作者用 ACB 与 Workerville 测量组织条件对智能体安全的影响,并称结果支持可量化的组织行为框架。

    Workerville 用组织行为测量智能体安全如何随监督、同伴和记忆条件变化。。要处理的缺口是:持续运行的 LLM 智能体同时接收用户指令、同伴消息和长期记忆,但既有安全评测多把这些通道拆开,没有统一的定量测量。

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  6. AttacksarXiv 2610.12524

    An exploration of attacks on AI agent systems

    重测并扩展对 AI Agent 的提示注入,并用 Agent Card 欺骗操纵 A2A 选择

    Published
    Setting
    AI Agent
    Evaluated models
    Ollama Mistral 0.9.5, llama3-8b-8192, gemini-2.0-flash-lite and others5
    Abstract单智能体过滤与分类可被格式或措辞绕过,A2A 选卡还会偏向名称和描述。

    作者在自建的 LangChain、AutoGen 和 A2A 系统上重测提示注入,并改 Agent Card 看选择是否偏移。摘要称试验主要凸显单智能体弱点,同时把攻击扩到多智能体。

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  7. DefensesarXiv 2610.10833

    研究:Agent 准时停机不等于有效使用时间预算

    用时钟 harness 和预算塑形 GRPO 改善 Agent 的按时返回

    Published
    Setting
    AI Agent
    Evaluated models
    Qwen3.6-27B, Qwen3-4B, Qwen3.5-9B and others4
    Abstract作者比较提示词、harness 与 GRPO:按时性可改善,但额外时间仍未变成更好解。

    作者研究小规模 LLM 智能体在显式 wall-clock 预算下能否按时返回,并把更多时间换成更好的解。

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  8. PatchBench 提出激活补丁局部评测协议,揭示越狱修复的附带损伤

    提出 PatchBench-Local 协议,评测激活补丁修复越狱的局部附带损伤

    Published
    Evaluated models
    Qwen2.5-3B-Instruct, Qwen2.5-14B-Instruct, gemma-3-4b-it and others8

    Abstract论文提出 PatchBench 与局部评估协议,揭示了激活补丁在全局能力无损下仍存局部良性退化。

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  9. 研究:Agent 更依赖工具报错通道

    测量工具调用 Agent 对显式报错与静默损坏的检测和恢复

    Published
    Setting
    AI Agent
    Evaluated models
    claude-haiku-4.5-thinking, claude-haiku-4.5, deepseek-r1 and others6
    Abstract作者称智能体看错误通道而非返回内容,静默损坏更少被当作问题。

    作者在 BFCL 多轮可执行环境上注入一次工具层故障,把注意到、改计划、恢复和重复分开记分,而不是只看任务有没有做完。

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  10. AgentTime 基准测试智能体时长遵循能力,GPT-6 Astra 出现 14 次做完后休眠

    提出 AgentTime 基准,评测智能体按时长工作与估时能力

    Published
    Evaluated models
    Fable 5.1, GPT-5.6 Sol, GPT-6 Astra and others7
    Abstract作者把完成任务和管理所用时间分开。

    AgentTime 是对智能体时间自控的评测:预测任务耗时、按要求时长工作、事后估计已用时间。

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  11. DefensesarXiv 2610.09703

    研究揭示 Token-Pruning 对 VLM 安全性的影响并提出 SAP 缓解机制

    提出 Safety-Aware Pruning,缓解视觉 token 剪枝放大的多模态越狱

    Published
    Attacker
    Black-box
    Evaluated models
    LLaVA-1.5-7B
    Abstract剪枝去掉背景 token 后注意力塌向恶意前景。

    这篇工作评估视觉 token 剪枝如何改变 VLM 在多模态越狱下的行为,并给出推理时防御 SAP。

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  12. DefensesarXiv 2610.09167

    Persist-3 用顺序检验识别未见越狱来源,提升 MTK 与 Prompt Guard 2 防御效果

    提出 Persist-3 序贯检验,从隐藏表示识别未见越狱源

    Published
    Evaluated models
    Llama2-7B-chat, Qwen2.5-7B-Instruct, Gemma-2-9B-it and others4
    AbstractPersist-3 用有限窗口检验攻击流是否超出已知越狱源,检出率低于全历史 SR-DKW,但决策只依赖最近观测。

    Persist-3 是一个有限记忆的序贯检测器,用来判断攻击表示流是否已经不能由任何一个已知越狱源解释。。

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  13. OtherarXiv 2610.08917

    CARE:为视觉-语言-动作模型推理加速提供认证式选择

    提出 CARE,离线认证 VLA 加速配置的回合级失败风险并选出最快合格候选

    Published
    Evaluated models
    OpenVLA-OFT, π0.5, π0 and others5
    AbstractCARE 以配对回合认证加速诱发失败,在预算内选最快候选,不足则保留参考。

    CARE 在部署前从加速配置中选出最快、且加速诱发失败风险能被有限样本认证为低于用户预算的候选。证据不足就保留全计算参考策略。

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