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Oct 12 · Monday
Another 265 papers do not have category tags yet and are not included in filtered results.
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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。
用均值场博弈分析多智能体集体攻击何时不是均衡
Published Oct 1 提出成本感知的 MCP 编排框架，用确定性利用图与免费层模型做自动化渗透测试
Published Sep 16 Abstract 确定性利用图加免费层级联在十次自建运行上测得付费成本为零。PentestChain 是一个十阶段、经 MCP 暴露的自动渗透框架，用确定性利用图把 7B 本地模型挡在利用关键路径之外，并把每次交战的美元成本当作实测指标。 。
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。
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