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Oct 12 · Monday
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
审计机器人安全监控的细化缺口,比较表面计划与图细化轨迹的裁决
Published Oct 2 Abstract 表面轨迹可漏掉图诱导的禁区进入。作者审计 RoboGuard 的一个假设:对高层动作轨迹的安全裁决,在补上语义图诱导的导航和已记录隐式效应之后是否仍然成立。做法是不改验证器,并固定同一条 LTL。
提出 Opera 口头批评框架,跟踪长程编码 Agent 的执行纠正
Published Sep 28
Evaluated models Qwen3.5-9B (thinking) , Muse-glimmer-30B (high) , Qwen3.8-27B (xhigh) and others4 Abstract Opera 用可审计的持久纠正笔记提升长程编码智能体,并可用引导轨迹做近似 on-policy 微调。Opera 是给长程编码智能体用的口头批评框架:每次纠正是一条要跟到解决的持久笔记,而不是一次性评语。
提议前沿开发者托管嵌入式评估,审查内部智能体监控、权限与对齐
Published Sep 22 Abstract 论文建议前沿开发者现在就以接近员工的现场访问,持续审查内部监控、权限与对齐。嵌入式评估 是一种第三方评估:独立评估者在前沿 AI 开发者现场获得接近员工的系统、人员与文档访问,用来审查依赖内部系统与实践的风险。
系统梳理智能体执行链路中的越狱攻击与防御并比较推理时防御
Published Sep 11
Evaluated models Qwen3.5-4B , Llama-3.1-8B-Instruct Abstract SoK 将越狱重放到智能体流水线,并用两种模型检验回复层防御的边际与代价。Mia 等人把越狱安全从单轮回复扩展到智能体的规划、记忆、工具和智能体间通信,并问既有结论在更强原生对齐下是否还成立。
提出结合 Scientist AI 监督与系统级控制的智能体保障架构
Published Sep 9 Abstract 作者梳理事件中的多层失效,主张监督模型、系统控制与证据治理并用。Lu 与 Bengio 给出的是一套可逐层上移的保障架构和一组事件归类,不是已测量的防御系统。
提出以协调情节为单位遏制智能体协同入侵的准则
Published Sep 5 Abstract 立场是跨执行保留关系并约束共享状态。
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