Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
adversarial training is to avoid this jumping and induce the model to be locally constant in the neighborhood of the training data. This can also be used in semi-supervised learning. For an unlabelled sample x, we can assign the label ŷ (x) using our model. Then, we find an adversarial example,