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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.
评测文生图模型的有害内容生成能力与审核检测缺口
Published Oct 5
Evaluated models SDXL , Stable Diffusion 3.5 Large , FLUX.1-dev and others12 构建多语言音视频 DeepFake 基准 BabelFake 并评测检测器
Published Oct 5
Evaluated models SpeechForensics , AVH-Align , (B)RAVEn Abstract BabelFake 为五语同意采集基准。BabelFake 是经同意与 IRB 批准采集的多语音视频 DeepFake 检测基准，用来把视觉操纵和语音合成拆开比较。
提出 Artifact-Bench，评测 MLLM 检测并诊断 AI 生成视频伪影
Published May 19
Evaluated models Gemini 3.1 Pro , Gemini 3 Flash , Qwen3-VL 8B-Instruct and others19 Abstract Artifact-Bench 以三项任务评 MLLM 的 AIGC 伪影感知。Artifact-Bench 用来看 MLLM 能否发现 AI 生成视频中的伪影，并说明视频为何不真实。
测量思维链将提示中 PII 复述进轨迹的泄漏并评测轻量检测器
Published Mar 6
Evaluated models Llama 3.3:70B , Claude Opus , Mixtral 8×22B and others7 Abstract 作者称 CoT 抬高逐字泄漏且随模型与预算而变，检测器也需按模型选择。在“不要复述 PII”的输出策略下，本文用 black-box 协议测量提示词中的 PII 被写回 CoT 与答案的情况，并比较轻量 gatekeeper。
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