Abstract: Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples. Moreover, the transferability of the adversarial examples has received broad attention in recent years, ...
Abstract: Privacy-preserving machine learning requires that models do not reveal any private information about their training data. However, model inversion attacks ...
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