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Alexander Levine 0001
Person information
- affiliation: University of Texas at Austin, TX, USA
- affiliation (former): University of Maryland, MD, USA
Other persons with the same name
- Alexander Levine 0002 — Drexel University, Philadelphia, PA, USA
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2020 – today
- 2024
- [j1]Alexander Levine, Peter Stone, Amy Zhang:
Multistep Inverse Is Not All You Need. RLJ 2: 884-925 (2024) - [i20]Alexander Levine, Peter Stone, Amy Zhang:
Multistep Inverse Is Not All You Need. CoRR abs/2403.11940 (2024) - [i19]Alexander Levine, Peter Stone, Amy Zhang:
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. CoRR abs/2410.03016 (2024) - 2023
- [b1]Alexander Levine:
Scalable Methods for Robust Machine Learning. University of Maryland, College Park, MD, USA, 2023 - [c15]Alexander Levine, Soheil Feizi:
Goal-Conditioned Q-learning as Knowledge Distillation. AAAI 2023: 8500-8509 - [c14]Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi:
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. ICLR 2023 - 2022
- [c13]Alexander Levine, Soheil Feizi:
Provable Adversarial Robustness for Fractional Lp Threat Models. AISTATS 2022: 9908-9942 - [c12]Jiang Liu, Alexander Levine, Chun Pong Lau
, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CVPR 2022: 14953-14962 - [c11]Aounon Kumar, Alexander Levine, Soheil Feizi:
Policy Smoothing for Provably Robust Reinforcement Learning. ICLR 2022 - [c10]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. ICML 2022: 22769-22783 - [c9]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Lethal Dose Conjecture on Data Poisoning. NeurIPS 2022 - [i18]Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi:
Certifying Model Accuracy under Distribution Shifts. CoRR abs/2201.12440 (2022) - [i17]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. CoRR abs/2202.02628 (2022) - [i16]Alexander Levine, Soheil Feizi:
Provable Adversarial Robustness for Fractional Lp Threat Models. CoRR abs/2203.08945 (2022) - [i15]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Lethal Dose Conjecture on Data Poisoning. CoRR abs/2208.03309 (2022) - [i14]Alexander Levine, Soheil Feizi:
Goal-Conditioned Q-Learning as Knowledge Distillation. CoRR abs/2208.13298 (2022) - [i13]Priyatham Kattakinda, Alexander Levine, Soheil Feizi:
Invariant Learning via Diffusion Dreamed Distribution Shifts. CoRR abs/2211.10370 (2022) - 2021
- [c8]Alexander Levine, Soheil Feizi:
Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks. ICLR 2021 - [c7]Alexander Levine, Soheil Feizi:
Improved, Deterministic Smoothing for L1 Certified Robustness. ICML 2021: 6254-6264 - [i12]Alexander Levine, Soheil Feizi:
Improved, Deterministic Smoothing for L1 Certified Robustness. CoRR abs/2103.10834 (2021) - [i11]Aounon Kumar, Alexander Levine, Soheil Feizi:
Policy Smoothing for Provably Robust Reinforcement Learning. CoRR abs/2106.11420 (2021) - [i10]Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CoRR abs/2112.04532 (2021) - 2020
- [c6]Alexander Levine, Soheil Feizi:
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. AAAI 2020: 4585-4593 - [c5]Alexander Levine, Soheil Feizi:
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. AISTATS 2020: 3938-3947 - [c4]Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi:
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. ICML 2020: 5458-5467 - [c3]Alexander Levine, Soheil Feizi:
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. NeurIPS 2020 - [c2]Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein:
Certifying Confidence via Randomized Smoothing. NeurIPS 2020 - [c1]Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. NeurIPS 2020 - [i9]Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi:
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. CoRR abs/2002.03239 (2020) - [i8]Alexander Levine, Soheil Feizi:
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. CoRR abs/2002.10733 (2020) - [i7]Alexander Levine, Soheil Feizi:
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks. CoRR abs/2006.14768 (2020) - [i6]Wei-An Lin, Chun Pong Lau
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. CoRR abs/2009.02470 (2020) - [i5]Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein:
Certifying Confidence via Randomized Smoothing. CoRR abs/2009.08061 (2020) - [i4]Alexander Levine, Aounon Kumar, Thomas A. Goldstein, Soheil Feizi:
Tight Second-Order Certificates for Randomized Smoothing. CoRR abs/2010.10549 (2020)
2010 – 2019
- 2019
- [i3]Alexander Levine, Sahil Singla, Soheil Feizi:
Certifiably Robust Interpretation in Deep Learning. CoRR abs/1905.12105 (2019) - [i2]Alexander Levine, Soheil Feizi:
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. CoRR abs/1910.10783 (2019) - [i1]Alexander Levine, Soheil Feizi:
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. CoRR abs/1911.09272 (2019)
Coauthor Index
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last updated on 2024-11-25 23:44 CET by the dblp team
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