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Flux-Guard achieves a breakthrough by enabling effective face editing that simultaneously thwarts face recognition systems without compromising image quality.
By generating synthetic gradients to bridge gaps between sparse benign updates, EnCAgg recovers more clean data in federated learning, even under dynamic model poisoning.
Reconstructing and simulating wind-driven dynamics from video is now possible with a new differentiable framework that enforces fluid dynamics laws.
