Enhancing Adversarial Robustness via Test-time Transformation Ensembling

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret +4

Deep learning models are prone to being fooled by imperceptible perturbations known as adversarial attacks. In this work, we study how equipping models with Test-time Transformatio…