ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity

Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo. ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021. OpenReview.net, 2021. [doi]

Abstract

Abstract is missing.