Abstract: Privacy-preserving machine learning requires that models do not reveal any private information about their training data. However, model inversion attacks ...
Abstract: The Gassmann fluid term, an important attribute for characterizing reservoir fluid variations, is widely used in seismic inversion for reservoir prediction and fluid identification. However, ...
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