Alexander Levine

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Smoothing Algorithm

Digital Image Watermarking

Top Venues

Publications

Alexander Levine, Peter Stone, Amy Zhang
Multistep Inverse Is Not All You Need. CoRR (2024)
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. ICLR (2023)
Alexander Levine, Soheil Feizi
Goal-Conditioned Q-learning as Knowledge Distillation. AAAI (2023)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Lethal Dose Conjecture on Data Poisoning. CoRR (2022)
Alexander Levine, Soheil Feizi
Provable Adversarial Robustness for Fractional Lp Threat Models. AISTATS (2022)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Lethal Dose Conjecture on Data Poisoning. NeurIPS (2022)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. CoRR (2022)
Alexander Levine, Soheil Feizi
Provable Adversarial Robustness for Fractional Lp Threat Models. CoRR (2022)
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)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. ICML (2022)
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
Certifying Model Accuracy under Distribution Shifts. CoRR (2022)
Aounon Kumar, Alexander Levine, Soheil Feizi
Policy Smoothing for Provably Robust Reinforcement Learning. ICLR (2022)
Alexander Levine, Soheil Feizi
Goal-Conditioned Q-Learning as Knowledge Distillation. CoRR (2022)
Priyatham Kattakinda, Alexander Levine, Soheil Feizi
Invariant Learning via Diffusion Dreamed Distribution Shifts. CoRR (2022)
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 (2021)
Alexander Levine, Soheil Feizi
Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks. ICLR (2021)
Alexander Levine, Soheil Feizi
Improved, Deterministic Smoothing for L1 Certified Robustness. CoRR (2021)
Alexander Levine, Soheil Feizi
Certified Robustness. ICML (2021)
Aounon Kumar, Alexander Levine, Soheil Feizi
Policy Smoothing for Provably Robust Reinforcement Learning. CoRR (2021)
Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
Certifying Confidence via Randomized Smoothing. NeurIPS (2020)
Alexander Levine, Soheil Feizi
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. CoRR (2020)
Alexander Levine, Soheil Feizi
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks. CoRR (2020)
Alexander Levine, Soheil Feizi
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. AAAI (2020)
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. ICML (2020)
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. CoRR (2020)
Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. CoRR (2020)
Alexander Levine, Soheil Feizi
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. AISTATS (2020)
Alexander Levine, Soheil Feizi
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. NeurIPS (2020)
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)
Alexander Levine, Aounon Kumar, Thomas Goldstein, Soheil Feizi
Tight Second-Order Certificates for Randomized Smoothing. CoRR (2020)
Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
Certifying Confidence via Randomized Smoothing. CoRR (2020)
Alexander Levine, Sahil Singla, Soheil Feizi
Certifiably Robust Interpretation in Deep Learning. CoRR (2019)
Alexander Levine, Soheil Feizi
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. CoRR (2019)
Alexander Levine, Soheil Feizi
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. CoRR (2019)