Data Augmentation via Structured Adversarial Perturbations

Calvin Luo, Hossein Mobahi, Samy Bengio

Data augmentation is a major component of many machine learning methods with state-of-the-art performance. Common augmentation strategies work by drawing random samples from a spac…