Aounon Kumar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Object Detection

Smoothing Algorithm

Reinforcement Learning

Max Margin Markov

Top Venues

Publications

Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. ICLR (2024)
Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
Towards Safe and Aligned Large Language Models for Medicine. CoRR (2024)
Aounon Kumar, Himabindu Lakkaraju
Manipulating Large Language Models to Increase Product Visibility. CoRR (2024)
Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. CoRR (2023)
Aounon Kumar, Chirag Agarwal, Suraj Srinivas, Soheil Feizi, Hima Lakkaraju
Certifying LLM Safety against Adversarial Prompting. CoRR (2023)
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. ICLR (2023)
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi
Can AI-Generated Text be Reliably Detected? CoRR (2023)
Aounon Kumar, Vinu Sankar Sadasivan, Soheil Feizi
Provable Robustness for Streaming Models with a Sliding Window. CoRR (2023)
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)
Aounon Kumar, Tom Goldstein
Center Smoothing for Certifiably Robust Vector-Valued Functions. CoRR (2021)
Aounon Kumar, Tom Goldstein
Center Smoothing: Certified Robustness for Networks with Structured Outputs. NeurIPS (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)
Ping-Yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein
Detection as Regression: Certified Object Detection by Median Smoothing. CoRR (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)
Ping-Yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein
Detection as Regression: Certified Object Detection with Median Smoothing. 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)
Ioana Oriana Bercea, Martin Groß, Samir Khuller, Aounon Kumar, Clemens Rösner, Daniel R. Schmidt, Melanie Schmidt
On the Cost of Essentially Fair Clusterings. APPROX-RANDOM (2019)
Ioana Oriana Bercea, Martin Groß, Samir Khuller, Aounon Kumar, Clemens Rösner, Daniel R. Schmidt, Melanie Schmidt
On the cost of essentially fair clusterings. CoRR (2018)
Aounon Kumar
Capacitated k-Center Problem with Vertex Weights. FSTTCS (2016)