On adversarial training and the 1 Nearest Neighbor classifier

2 code implementations • 9 Apr 2024 • Amir Hagai, Yair Weiss

The ability to fool deep learning classifiers with tiny perturbations of the input has lead to the development of adversarial training in which the loss with respect to adversarial examples is minimized in addition to the training examples.

Adversarial Robustness Image Classification