Researchers Developed SmoothNets For Optimizing Convolutional Neural Network (CNN) Architecture Design For Differentially Private Deep Learning

Differential privacy (DP) is used in machine learning to preserve the confidentiality of the information that forms the dataset. The most used algorithm to train deep neural networks with Differential Privacy is Differentially Private Stochastic Gradient Descent (DP-SGD), which requires clipping and noising of per-sample gradients. As a result, the model utility decreases compared to […]

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