- Adversarial Examples Are Not Bugs, They Are Features
- Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
- Adversarial Self-Defense for Cycle-Consistent GANs
- A New Defense Against Adversarial Images: Turning a Weakness into a Strength
- Tight Certificates of Adversarial Robustnessfor Randomly Smoothed Classifiers
- Adversarial training for free!
- Certified Adversarial Robustness with Additive Noise
- Robustness to Adversarial Perturbations in Learning from Incomplete Data
- Unlabeled Data Improves Adversarial Robustness
- Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
- Metric Learning for Adversarial Robustness