| Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification | Jun 29, 2020 | Adversarial RobustnessClassification | —Unverified | 0 |
| Improving Adversarial Robustness via Unlabeled Out-of-Domain Data | Jun 15, 2020 | Adversarial RobustnessData Augmentation | —Unverified | 0 |
| Provable tradeoffs in adversarially robust classification | Jun 9, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Probably Approximately Correct Constrained Learning | Jun 9, 2020 | PAC learningRobust classification | —Unverified | 0 |
| Adversarial Feature Desensitization | Jun 8, 2020 | Adversarial RobustnessDomain Adaptation | CodeCode Available | 0 |
| ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression | Jun 7, 2020 | Domain AdaptationKnowledge Distillation | —Unverified | 0 |
| Calibrated Surrogate Losses for Adversarially Robust Classification | May 28, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Provable Robust Classification via Learned Smoothed Densities | May 9, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| GAT: Generative Adversarial Training for Adversarial Example Detection and Classification | May 1, 2020 | General ClassificationRobust classification | —Unverified | 0 |
| Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees | May 1, 2020 | Deep LearningRobust classification | —Unverified | 0 |
