A stab at robustness through MadryLab's library.

The aim is to explore https://github.com/MadryLab/ robustness package. FashionMnist was added to the dataloaders, to be adv-trained and compared to the std-trained model accuracy.

CINIC was used as well. For both sets, the following 3 metrics were computed

• Standard training of a model against the natural(original set) and then validated against an PGD adversary
• PGD-trained model validated against the natural and the adversarial dataset
• Standard model trained on Adversarial dataset, then validated aginst natural and adv dataset.