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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 FAB 攻击，向声学基础模型植入可由环境声触发的后门
Published Oct 7
Evaluated models HuBERT-base , WavLM-base Abstract 论文提出了针对声学基模的 FAB 后门攻击，在弱威胁模型下实现了任务无关、物理可触发的后门植入。
提出任务感知的跨域蒸馏与剪枝方法以压缩音频深度伪造检测器
Published Oct 4
Evaluated models XLSR-AASIST
Published Sep 28
Evaluated models E-Branchformer Abstract 梯度上升类方法更接近简单评测下的重训参照，复杂方法会被知情攻击认出，多说话人更差。
提出 SteerDuplex，用监督微调与两阶段强化学习提升全双工语音对话可控性
Published Sep 11
Evaluated models SteerDuplex-SFT , SteerDuplex-RL Abstract SteerDuplex 用 SFT 提升语音可控，用两阶段 RL 改时序，并记录奖励黑客。SteerDuplex 是基于 Moshi 的全双工语音模型，目标是在保留轮替、打断和一般任务能力的同时，按用户指令改变内容与发声。
提出 GhostWord 词级触发后门，对自动语音识别做数据投毒
Published Sep 2
Evaluated models Whisper-Small , Whisper-Medium , MMS and others4 提出 VA-Judger，用人类偏好训练联合音视频奖励模型
Published Aug 19
Evaluated models VA-Judger , LTX-2 + VA-Judger Abstract VA-Judger 用易到难的人类偏好学习做联合音视频奖励，并用于 LTX-2 后训练。VA-Judger 是面向联合音视频生成的思维链全模态奖励模型，用来替代由分维度专家指标拼成的强化学习奖励。
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