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Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation vs Video ReTalking-focuses on audio-based lip synchronization for talking head video editing
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Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Deep neural networks are vulnerable to universal adversarial perturbation (UAP), an instance-agnostic perturbation capable of fooling the target model for most samples.

Video ReTalking-focuses on audio-based lip synchronization for talking head video editing
Video ReTalking, advanced real-world talking head video according to input audio, producing a high-quality
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