Levine, Alexander

13 publications

ICLR 2025 Learning a Fast Mixing Exogenous Block MDP Using a Single Trajectory Alexander Levine, Peter Stone, Amy Zhang

AAAI 2023 Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine, Soheil Feizi

ICLR 2023 Provable Robustness Against Wasserstein Distribution Shifts via Input Randomization Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi

NeurIPS 2022 Lethal Dose Conjecture on Data Poisoning Wenxiao Wang, Alexander Levine, Soheil Feizi

ICLR 2022 Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar, Alexander Levine, Soheil Feizi

CVPR 2022 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

ICLR 2021 Deep Partition Aggregation: Provable Defenses Against General Poisoning Attacks Alexander Levine, Soheil Feizi

NeurIPS 2020 (De)Randomized Smoothing for Certifiable Defense Against Patch Attacks Alexander Levine, Soheil Feizi

NeurIPS 2020 Certifying Confidence via Randomized Smoothing Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein

ICML 2020 Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi

NeurIPS 2020 Dual Manifold Adversarial Robustness: Defense Against Lp and Non-Lp Adversarial Attacks Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi

AAAI 2020 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation Alexander Levine, Soheil Feizi

AISTATS 2020 Wasserstein Smoothing: Certified Robustness Against Wasserstein Adversarial Attacks Alexander Levine, Soheil Feizi