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Oct 12 · Monday
Another 305 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.
提出 AI 评估沙盒配置器，支撑监管沙盒多方技术评估与报告
Published Oct 1
Evaluated models LLM-backed conversational assistant Abstract 框架把每次技术测试配成沙盒。AI Assessment Sandbox Configurator 是面向欧盟 AIRS 中结构化技术测试的开源配置框架，用来按一次参与组装评估环境。
提出弹性沙箱基础设施 DSec，支撑大规模智能体训练
Published Sep 19 Abstract DSec 是面向大规模智能体 RL 的多后端生产沙箱，用分层、按需镜像和训练协同维持高密度。DSec 是 DeepSeek-AI 的生产沙箱平台，用来支撑从 DeepSeek V3.2 到 V4.1 的智能体 RL 与评测，而不是报告某个模型的任务准确率。
提出混合 CKKS/TFHE 的隐私保护 LLM 解码框架 ROSETTA
Published Sep 15
Evaluated models GPT-2 Base , TinyLlama-1.1B , LLaMA-3-8B Abstract ROSETTA 用分段 LUT 和 DAG 最短路，把 CKKS 与 TFHE 按算子拼进 LLM 解码。ROSETTA 是面向 LLM decode 的混合 CKKS/TFHE 隐私推理框架，目标是在 honest-but-curious 两方设定下，让服务器在密文上完成解码，同时保住权重和用户输入。
提出推理时 AI 治理机制的可行性分类
Published Sep 9 Abstract 商用推理时治理底座已较常见，对高能力非合作对手的覆盖更薄。本文是一份推理时 AI 治理的可行性分类，用来接上作者自己的硬件层分类。
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