Abstract: Privacy-preserving machine learning requires that models do not reveal any private information about their training data. However, model inversion attacks ...
Abstract: The difficulty of 3-D magnetic inversion is to use 2-D magnetic anomaly data to obtain 3-D magnetic susceptibility structure. The contribution of the underground medium to the magnetic ...
Recent advancements in text-guided diffusion models have unlocked powerful image manipulation capabilities. However, applying these methods to real images necessitates the inversion of the images into ...
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