1. Defense Against Universal Adversarial Perturbations
2. Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples;Athalye,2018
3. Sharpness-Aware Minimization Improves Language Model Generalization
4. Large scale GAN training for high fidelity natural image synthesis;Brock,2019
5. A simple framework for contrastive learning of visual representations;Chen,2020