Improving Adversarial Robustness via Unlabeled Out-of-Domain Data

15 Jun 2020Zhun DengLinjun ZhangAmirata GhorbaniJames Zou

Data augmentation by incorporating cheap unlabeled data from multiple domains is a powerful way to improve prediction especially when there is limited labeled data. In this work, we investigate how adversarial robustness can be enhanced by leveraging out-of-domain unlabeled data... (read more)

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