| A Dynamical System Perspective for Lipschitz Neural Networks. | 0 | 0.34 | 2022 |
| Advocating for Multiple Defense Strategies against Adversarial Examples | 0 | 0.34 | 2020 |
| Robust Neural Networks using Randomized Adversarial Training. | 1 | 0.35 | 2019 |
| On the Expressive Power of Deep Fully Circulant Neural Networks. | 0 | 0.34 | 2019 |
| Theoretical evidence for adversarial robustness through randomization | 1 | 0.34 | 2019 |
| Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. | 1 | 0.35 | 2019 |
