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Alexander Levine

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Invariant Learning via Diffusion Dreamed Distribution Shifts

Nov 18, 2022
Priyatham Kattakinda, Alexander Levine, Soheil Feizi

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Goal-Conditioned Q-Learning as Knowledge Distillation

Aug 28, 2022
Alexander Levine, Soheil Feizi

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Lethal Dose Conjecture on Data Poisoning

Aug 05, 2022
Wenxiao Wang, Alexander Levine, Soheil Feizi

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Provable Adversarial Robustness for Fractional Lp Threat Models

Mar 16, 2022
Alexander Levine, Soheil Feizi

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Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation

Feb 05, 2022
Wenxiao Wang, Alexander Levine, Soheil Feizi

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Certifying Model Accuracy under Distribution Shifts

Jan 28, 2022
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi

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Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection

Dec 08, 2021
Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi

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Policy Smoothing for Provably Robust Reinforcement Learning

Jun 21, 2021
Aounon Kumar, Alexander Levine, Soheil Feizi

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Improved, Deterministic Smoothing for L1 Certified Robustness

Mar 17, 2021
Alexander Levine, Soheil Feizi

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Tight Second-Order Certificates for Randomized Smoothing

Oct 20, 2020
Alexander Levine, Aounon Kumar, Thomas Goldstein, Soheil Feizi

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