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By adding noise to gradients during training, this approach makes it much harder to infer specific details about the training data. from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras import DPKerasSGDOptimizer # DP hyperparameters l2_norm_clip = 1.0 noise_multiplier = 1.1