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Oct 12 · Monday
All papers Found 27 papers Another 232 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.
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.
Proposes LETHE, which perturbs reference images to block unauthorized image-to-video
Published Oct 9
Evaluated models Wan2.1-I2V-14B , CogVideoX-5B-I2V , LightX2V and others6 Abstract LETHE suppresses the diversity of reference values and attracts attention, making protected images difficult to animate faithfully.LETHE is a protective perturbation added to personal images before publication, used to counter unauthorized image-to-video generation.
构建 EpiReal-Bench，评测图像生成器将虚假主张渲染为可信证据
Published Oct 8
Evaluated models GPT-Image-2 , Nano Banana 2 , Grok Imagen 2.0 and others4 Abstract 四款商用图像模型能把假主张画成可信证据。EpiReal-Bench 用来量商用图像生成器会不会把虚假现实主张画成可信视觉证据。
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。
提出 PLW，用微调把先前对话敏感触发编码进后续生成图像
Published Oct 5
Evaluated models OmniGen2 , BAGEL-7B Abstract PLW 把先前对话线索写成后续图像中的隐水印，检出随触发、模型和间隔变化。
提出审计感知遗忘框架 AVCE，从文本与视觉通路擦除扩散模型概念
Published Oct 5
Evaluated models Stable Diffusion XL (SDXL) , Stable Diffusion v1.5 (SD v1.5) , Flux 1.0 Abstract AVCE 在审计锚点上改两条注意力通路。AVCE 是面向扩散模型的概念擦除方法，要让擦除经得起绕过文本条件的潜空间审计，而不只是挡住对抗提示词。
提出 FADE，对文生视频模型做帧感知多概念擦除
Published Oct 3
Evaluated models Wan2.1-T2V-1.3B , Wan2.1-T2V-14B , CogVideoX-2B and others4 Abstract FADE 用闭式编辑、帧感知适配器和软路由，在单骨干上擦除多概念并压低逐帧残差。FADE 是面向文生视频扩散 Transformer 的多概念遗忘方法，用来抑制指定物体、画风、裸体、暴力、仇恨和名人身份，并尽量保持其他生成。作者要处理两件事。与帧无关的抑制会让概念在少数帧重现，片段均值会掩盖这一失败。
组合偏好奖励与评分标准奖励后训练文生图模型以抑制奖励作弊
Published Oct 2
Evaluated models FLUX.2-dev , Ideogram-4 Abstract 组合奖励后训练 FLUX.2-dev 与 Ideogram-4，并报告高于基座的胜率与 Elo。作者给出一套开放域文生图后训练配方：把人类偏好奖励和 prompt 条件的 rubric 奖励合在一起，而不是换一个新优化器。问题是单一奖励盖不住用户意图。偏好模型能看整体观感，但对“是否实现每个要求”这类稀疏属性不敏感。
综述视频生成的后训练与对齐，并汇总基准与开放挑战
Published Oct 1 Abstract 综述把视频后训练分成四类对齐信号，并指出奖励、长视频、权衡和安全仍开放。这是一篇视频生成 后训练与对齐 综述：预训练模型已有强先验，但作者认为仍不能可靠遵循意图、维持时间连贯或满足物理与安全约束。
提出 BadAction，通过动作触发器给交互式视频生成植入后门
Published Sep 30
Evaluated models Astra (Wan2.1-T2V-1.3B) 提出 CollageAttack，用空间文本碎片重组越狱文生图模型
Published Sep 29
Evaluated models GPT-Image-2 , Doubao-Seedream-5.0-Lite , Wan2.7-Image-Pro and others5 Abstract 系统揭示 T2I 跨模态空间合成安全漏洞，证实离散无害元素可在图像层面重构有害意图并放大传播强度。
提出 IDU，在无保留样本时蒸馏单步生成器并抑制遗忘子集
Published Sep 29
Evaluated models IDU one-step generator Abstract IDU 同时做单步蒸馏和数据遗忘，在 MNIST 与 CIFAR-10 上压低遗忘类生成率。IDU 面向无条件 flow 与 score-based 教师，在蒸馏成单步生成器的同时做数据遗忘。
提出 RISE，迭代演化可复用策略对文生图模型做红队
Published Sep 28
Evaluated models DALL·E 3 , Nano Banana 2 , GPT-Image-2 and others7 提出跨架构攻击 CSR，用概念分数参数重学习恢复文生图被擦除概念
Published Sep 27
Evaluated models FLUX.1-dev , Stable Diffusion-v1.4 提出 TempQ-Jail，以查询受限候选排序越狱文生视频模型
Published Sep 25 提出 DIVA，将有害意图拆成视觉锚点与运动文本以越狱视频生成模型
Published Sep 7
Evaluated models Wan , CogVideoX , LTX-Video and others9 Abstract DIVA 用视觉锚点抑制语义漂移做视频越狱，并给出多条件安全基准 TI2VSafetyBench。DIVA 是针对带参考图的视频生成模型的免训练 black-box 越狱：用一致性机制本身堵住语义漂移这条安全逃逸路径。 。
提出 AdvPIE，在黑盒下搜索表面无害却生成有害图像的提示
Published Sep 5
Evaluated models Stable Diffusion 3.5 Large , FLUX.1-schnell , Safe-StableDiffusion 1.5 and others5 提出 CRACK，用多智能体辩论在黑盒下越狱文生图多层安全过滤
Published Sep 1
Evaluated models Stable Diffusion v1.4 , SDXL , DALL·E 3 and others4 Abstract CRACK 以分层诊断的多智能体辩论搜索多层 T2I 过滤器的联合规避区域。CRACK 是面向文本生成图像模型多层安全栈的黑盒越狱框架，用几何上的 Detection Surface 解释为何粗粒度反馈不够。
提出 DSR 跨模态越狱，用无害图文诱导 MLLM 生成有害图像
Published Jun 1
Evaluated models gemini-2.5-flash-image , qwen-image-2.0 , Tongyi Wanx 2.5 Abstract DSR 用无害图文诱导商业 MLLM 输出有害图像，作者称组合能力会反过来扩大攻击面。DSR 是一种 black-box 跨模态越狱：输入侧不放显式有害内容，而让商业 MLLM 在推理中把无害图文重组成有害图像。
Propose TFM, using start and end frames and implicit substitution to jailbreak text-to-video models
Published Mar 7
Evaluated models Pixverse V5 , Hailuo 02 , Kling 2.1 Master and others4 Abstract TFM first extracts start and end frames and then performs implicit substitution.TFM is a strictly black-box prompt jailbreak for text-to-video that exploits the model's temporal infilling of unspecified intermediate processes.