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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. DefensesarXiv 2610.13333

    LETHE: Defending Against Unauthorized Image-to-Video Generation via Value Diversity Collapse

    Proposes LETHE, which perturbs reference images to block unauthorized image-to-video

    Published
    Evaluated models
    Wan2.1-I2V-14B, CogVideoX-5B-I2V, LightX2V and others6
    AbstractLETHE 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.

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  3. DefensesarXiv 2610.03980

    FADE:面向视频扩散模型的帧感知多概念擦除框架

    提出 FADE,对文生视频模型做帧感知多概念擦除

    Published
    Evaluated models
    Wan2.1-T2V-1.3B, Wan2.1-T2V-14B, CogVideoX-2B and others4
    AbstractFADE 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。

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  4. DefensesarXiv 2609.03629

    EraseSAE:用稀疏自编码器在文生视频扩散模型中实现精准概念擦除

    提出 EraseSAE,在文生视频模型中局部擦除指定概念

    Published
    Evaluated models
    CogVideoX-5B, HunyuanVideo, Flux.1 [dev]
    AbstractEraseSAE 用单义特征局部擦除。

    EraseSAE 把 SAE 用于 DiT 文生视频模型的概念擦除。作者要解决的是:全局改权重或表面负提示对不齐细粒度、分布式的概念,而且会改到无关时空区域。

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  5. DefensesarXiv 2603.01544

    RA-Det:利用鲁棒性不对称检测 AI 生成图像

    提出 RA-Det,利用鲁棒性不对称检测 AI 生成图像

    Published
    AbstractRA-Det 把扰动下特征漂移差变成检测信号,平均 ACC 高于表中通用检测器,但不是每行最高。

    RA-Det 是合成图像检测器,用扰动下的表示稳定性差异代替外观痕迹。

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  6. DefensesarXiv 2312.06632

    用智能体控制化学科学中的 AI 风险:SciGuard 护栏与 SciMT 基准

    提出 SciGuard 外部护栏与 SciMT 基准,控制化学科学 AI 误用

    Published
    Evaluated models
    SciGuard (GPT-4), SciGuard (Gemini), SciGuard (Mixtral) and others5
    AbstractSciGuard 以外部智能体控制化学 AI 误用。

    这篇工作把化学科学 AI 的误用控制做成外部智能体,而不是改模型权重。作者担心合成规划、毒性预测和科学语言模型被用来获取有害物质信息、规避监管或传播危险知识,同时合法工业用途又不能靠一律拒绝来处理。SciGuard 由 LLM 担任中介,把原则和指南放进短期记忆,把分子库、危害库、法规和交互历史放进可检索的长期记忆,再按 Chain of Thought 调用 Chemprop、LocalRetro 等工具,或用 RAG 补法规片段,最后回答、追问或拒绝。

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