Kumar, Aounon

12 publications

TMLR 2025 Can AI-Generated Text Be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi

NeurIPS 2024 MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju

ICLR 2024 Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Chegini, Wenxiao Wang, Soheil Feizi

ICMLW 2024 Towards Safe Large Language Models for Medicine Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju

ICMLW 2024 Towards Safe Large Language Models for Medicine Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju

ICMLW 2024 Towards Safe Large Language Models for Medicine Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju

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

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

NeurIPS 2021 Center Smoothing: Certified Robustness for Networks with Structured Outputs Aounon Kumar, Tom Goldstein

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 Detection as Regression: Certified Object Detection with Median Smoothing Ping-yeh Chiang, Michael Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein