April 2021
Improving Free Adversarial Training using Scheduling,
Augmentations, and Denoising
Implemented scheduling of inner loop constraints to optimize
adversarial training. Used data augmentation and weighted
constrastive loss to improve classifier performance against
geometric image perturbations.