Fig. 3From: Secure machine learning against adversarial samples at test timeTraining and validation loss. The training loss decreases with every epoch, whereas the validation loss does not decrease much after the third epoch. Hence, the training process can be stopped after three epochs to prevent overfittingBack to article page