| 2025 | ICLR | Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. | Alexander Levine, Peter Stone, Amy Zhang |
| 2023 | AAAI | Goal-Conditioned Q-learning as Knowledge Distillation. | Alexander Levine, Soheil Feizi |
| 2023 | ICLR | Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. | Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi |
| 2022 | AISTATS | Provable Adversarial Robustness for Fractional Lp Threat Models. | Alexander Levine, Soheil Feizi |
| 2022 | CVPR | Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. | Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi |
| 2022 | ICLR | Policy Smoothing for Provably Robust Reinforcement Learning. | Aounon Kumar, Alexander Levine, Soheil Feizi |
| 2022 | ICML | Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. | Wenxiao Wang, Alexander Levine, Soheil Feizi |
| 2021 | ICLR | Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks. | Alexander Levine, Soheil Feizi |
| 2021 | ICML | Improved, Deterministic Smoothing for L | Alexander Levine, Soheil Feizi |
| 2020 | AAAI | Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. | Alexander Levine, Soheil Feizi |
| 2020 | AISTATS | Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. | Alexander Levine, Soheil Feizi |
| 2020 | ICML | Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. | Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi |
| 2003 | WETICE | WebDAVA: An Administrator-Free Approach To Web File-Sharing. | Alexander Levine, Vassilis Prevelakis, John Ioannidis, Sotiris Ioannidis, Angelos D. Keromytis |