Nearest Neighbor Projection Removal Adversarial Training projects out inter-class dependencies in feature space during training, claims to reduce the Lipschitz constant and Rademacher complexity, and reports competitive robust accuracy on CIFAR-10, CIFAR-100, SVHN, and TinyImagenet.
Spectrally-normalized margin bounds for neural networks
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Nearest Neighbor Projection Removal Adversarial Training
Nearest Neighbor Projection Removal Adversarial Training projects out inter-class dependencies in feature space during training, claims to reduce the Lipschitz constant and Rademacher complexity, and reports competitive robust accuracy on CIFAR-10, CIFAR-100, SVHN, and TinyImagenet.