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Oct 12 · Monday

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  1. DefensesarXiv 2610.13733

    KVeil: First-Place Solution for the ECCV 2026 LifeGenIP Unlearnable Video Challenge

    Propose KVeil, which adds perturbations to face videos to prevent unauthorized customization from reproducing identity

    Published
    Evaluated models
    Wan2.2-TI2V-5B, HunyuanVideo-1.5, Kling 3.0 and others4

    AbstractKVeil adapts LETHE's reference-reading disruption to the challenge's two stages, ranking first on the leaderboard in both Final columns.

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  2. CCDF dataset: Grok Imagine, Veo 3.1, Sora 2 forge surveillance footage, ten deepfake detectors basically cannot recognize it

    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
    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。

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  3. BabelFake:面向多语言音视频 DeepFake 检测的基准数据集

    构建多语言音视频 DeepFake 基准 BabelFake 并评测检测器

    Published
    Evaluated models
    SpeechForensics, AVH-Align, (B)RAVEn
    AbstractBabelFake 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。

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  4. DefensesarXiv 2607.13336

    TC-UAP:针对图像转视频与微调定制的通用视频保护方法

    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
    Evaluated models
    LTX-2.3, Wan2.2-5B
    AbstractTC-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。

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  5. AttacksarXiv 2606.09499

    研究者提出针对世界模型的机器人学习管线投毒攻击

    提出 VPH 与 VTH,只改视频帧劫持世界模型并投毒下游策略

    Published
    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。

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  6. VideoSTF 揭示视频大模型输出重复问题

    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
    Evaluated models
    LLaVA-Video-7B-Qwen2, LLaVA-Video-7B-Qwen2-Video-Only, LLaVA-NeXT-Video-7B and others10
    AbstractVIDEO 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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