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Oct 12 · Monday
Another 233 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.
评测容器、权限规则与沙箱能否区分编译器与编码 Agent 的文件读取
Published Sep 29 Abstract 此 harness 表达不了编译器可读而智能体不可读，五条路径两边都不覆盖。作者在物理流求解器上检查一套编码智能体配置：编译器必须读本组材料与反应模型，这些字节又不得进入模型上下文或离开本机的记录。
提出 Skill-as-API，隔离多智能体协作中的 skill 正文与系统提示词
Published Sep 1 Abstract 协议把 skill 正文留在所有者侧，四层限制发现内容、权限期限和注入拼接。Skill-as-API 是面向智能体软件工程的协调协议，用来在跨组织调用时把 skill 的代码和系统提示词留在所有者进程。作者针对三条威胁：经通道或命名空间抽取专有方法，用注入让被调用模型输出系统提示词，以及协作结束后权限继续保留。
提出 AuthBench 评测编码 Agent 最小权限，并验证充足性-紧缩性分解
Published May 14
Evaluated models GPT-5 , GPT-5.3-Codex , GPT-5.4 and others9 Abstract 论文提出权限边界推断基准与两阶段分解方法，有效降低安全暴露。本文研究代码智能体在执行终端任务前自主推断最小文件权限边界的能力。
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