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Oct 12 · Monday
Another 261 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 AV-SafetyBench 评测文生音视频模型的不安全生成
Published Sep 7
Evaluated models LTX-2.3 , Ovi-1.1 , JavisDiT++ and others7 Abstract AV-SafetyBench 用三视角评五个 T2AV 模型,显示只看视频会漏掉音频与联合风险。AV-SafetyBench 是面向文本生成音视频(T2AV)的安全基准:一条提示词同时规定画面和音频,评测同时看两轨以及它们的交互。作者要测的是,不安全含义不只出现在画面上:它可以主要由语音或声音承载,也可以只有两轨合起来才成立。T2VSafetyBench 不评音频,TTA-Bench 不评与画面的交互,作者认为二者都盖不住这些路径。
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