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English(EN) TADP: Dual-Branch Temporally Adaptive Differential Privacy for Expression-Aware Video Anonymization

新的TADP框架在匿名化视频的同时保留面部表情

研究人员开发了TADP,一种用于在匿名化视频的同时保留面部表情的新颖框架。该双分支系统分离身份和表情表示,并对两者应用时间自适应差分隐私。该方法使用高斯机制和Rényi差分隐私来确保剪辑级别的隐私保证,实验表明与现有方法相比,身份泄露减少,并且面部表情识别的效用得以维持。 AI

影响 这项研究可能导致更有效的隐私保护视频生成技术,在匿名性和保留面部表情等重要上下文信息之间取得平衡。

排序理由 该集群包含一篇详细介绍视频匿名化新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的TADP框架在匿名化视频的同时保留面部表情

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该集群包含一篇详细介绍视频匿名化新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang ·

    TADP: Dual-Branch Temporally Adaptive Differential Privacy for Expression-Aware Video Anonymization

    arXiv:2610.41642v1 Announce Type: new Abstract: We present TADP, a temporally adaptive differential privacy (DP) framework for inference-time privacy-preserving video generation under fixed-length clip-replacement adjacency. TADP uses a dual-branch design to extract identity and …