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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.
用配对回放评测任务范围授权能否阻断越权工具执行
Published Oct 5
Evaluated models Llama 3.2 3B Instruct Q4 K M , Qwen3 4B Instruct , Gemma 3 4B and others8 提出 STAR-Guard 双层防御,抑制长程 Agent 遗忘跨轮安全约束
Published Oct 2
Evaluated models GPT-5.5 , DeepSeek-V4-Pro , GLM-5.2 and others7 Abstract 揭示 GHOST 跨轮约束遗忘风险,构建 SCARBench 基准并通过 STAR-Guard 双层防御消除违规。
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。
构建 APort Vault 基准,对比支付智能体模型拒答与确定性授权
Published Sep 19
Evaluated models Claude Fable 5.1 , Claude Sonnet 5 , Claude Haiku 4.5 and others14 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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