A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection

no code implementations • 25 Jan 2023 • Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

For this purpose, we first demonstrate that the existing model-based methods can be equivalent to applying smaller perturbation or optimization weights to the hard training examples.

Data Augmentation Out-of-Distribution Detection