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Oct 12 · Monday
All papers Found 13 papers Another 336 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 “Organized first” shows papers with tags or public deep readings first. Each group is ordered by original publication date, newest first, with undated papers last. “Latest publication” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and deep readings 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.
Propose KVeil, which adds perturbations to face videos to prevent unauthorized customization from reproducing identity
Published Oct 9
Evaluated models Wan2.2-TI2V-5B 、 HunyuanVideo-1.5 、 Kling 3.0 and others4 Abstract KVeil adapts LETHE's reference-reading disruption to the challenge's two stages, ranking first on the leaderboard in both Final columns.
提出 STCA，对驾驶视频 VLM 构造可迁移的时空对抗扰动
Published Oct 6
Evaluated models Video-LLaVA-7B 、 Qwen2.5-VL-7B 、 Dolphins 提出监控深伪基准 CCDF，在统一编码后评测检测器对伪造犯罪事故录像的识别
Published Oct 6
Evaluated models C2P-CLIP 、 ForgeLens 、 D3-Im and others10 Abstract 提出消除格式捷径的监控深度伪造基准 CCDF，揭示现有检测器难以识别商用生成视频。
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 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 OmniConfess，冻结候选并按通道重打分以缓解全模态幻觉
Published Oct 2
Evaluated models Qwen2.5-Omni-7B 、 Qwen3-Omni-30B-A3B 、 Nemotron-3-Nano-Omni-30B 提出 SceneJail，利用视频情境上下文越狱视频多模态模型
Published Sep 30
Evaluated models Qwen2.5-VL-7B-Instruct 、 Qwen2.5-VL-32B-Instruct 、 Qwen3-VL-8B-Instruct and others8 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。
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 VPH 与 VTH，只改视频帧劫持世界模型并投毒下游策略
Published Jun 8
Evaluated models Cosmos-Predict 2.5 、 Cosmos-Predict 2.5 AC 、 Dino WM and others4 Abstract 只改视频帧经世界模型投毒。只改看似安全的视频帧，经世界模型之后才改变下游机器人策略。 问题在于世界模型进入数据生成后，数据集检查看到的仍是安全演示，合成轨迹却可以变危险。
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。
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。
提出 DIQ-H 基准，评测 VLM 在连续退化视觉流中的幻觉残留与恢复
Published Dec 4, 2025
Evaluated models LLaVA-7B-strict 、 InternVL2-8B-strict 、 Phi-3-Vision-strict and others17 Abstract DIQ-H 用连续退化视频测幻觉延续与恢复，VIR 用不确定性过滤生成伪标注。DIQ-H 评测 VLM 在连续视觉退化中的幻觉、恢复和跨时间一致性。VIR 用轻量模型的不确定性过滤生成伪真值。
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