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clipping applied, the number of training iterations, and the size of the dataset. TensorFlow Privacy provides the compute_dp_sgd_privacy function to compute epsilon for a given noise multiplier and other training parameters. Here's how you can use it: from tensorflow_privacy.privacy.analysis import