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.
Improving fast adversarial training via self-knowledge guid- ance.IEEE Transactions on Information Forensics and Se- curity, 20:3772–3787, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.