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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.
提出 ControlPed 与 HazardPed,生成可控行人危险场景并评测端到端驾驶
Published Oct 5
Evaluated models DiffusionDrive , SSR , VAD and others7 提出 TC-UAP,用身份级多帧扰动保护视频免被定制复现身份
Published Jul 15
Evaluated models LTX-2.3 , Wan2.2-5B Abstract TC-UAP 以可复用的时间一致扰动干扰两类定制共用的 VAE 隐空间。作者要解决的是:发布前如何给视频加不可见扰动,使片段既不能被拿去微调视频扩散模型,也不能被抽帧做 image-to-video。
提出 VIDEO STF 评测视频大模型输出重复并压力测试时序扰动
Published Feb 11
Evaluated models LLaVA-Video-7B-Qwen2 , LLaVA-Video-7B-Qwen2-Video-Only , LLaVA-NeXT-Video-7B and others10 Abstract VIDEO STF 把输出重复做成可测、可被时间扰动放大、并可黑盒诱导的失败。VIDEO STF 测量 VideoLLM 的输出重复,并把时间变换用作 black-box 诱导。
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