Aounon Kumar - RankMe

28 papers A* 8Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Can AI-Generated Text be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks. Trans. Mach. Learn. Res. Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi
2025	J	`jnl`	Detecting LLM-Written Peer Reviews. CoRR Vishisht Rao, Aounon Kumar, Himabindu Lakkaraju, Nihar B. Shah
2025	J	`jnl`	Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models. CoRR Martin Pawelczyk, Lillian Sun, Zhenting Qi, Aounon Kumar, Himabindu Lakkaraju
2024	J	`jnl`	Manipulating Large Language Models to Increase Product Visibility. CoRR Aounon Kumar, Himabindu Lakkaraju
2024	A*	`conf`	MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models. NeurIPS Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
2024	A*	`conf`	Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. ICLR Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
2024	J	`jnl`	Towards Safe and Aligned Large Language Models for Medicine. CoRR Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
2023	J	`jnl`	Can AI-Generated Text be Reliably Detected? CoRR Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi
2023	J	`jnl`	Certifying LLM Safety against Adversarial Prompting. CoRR Aounon Kumar, Chirag Agarwal, Suraj Srinivas, Soheil Feizi, Hima Lakkaraju
2023	—	`—`	Extending the Scope of Provable Adversarial Robustness in Machine Learning. Aounon Kumar
2023	A*	`conf`	Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. ICLR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2023	J	`jnl`	Provable Robustness for Streaming Models with a Sliding Window. CoRR Aounon Kumar, Vinu Sankar Sadasivan, Soheil Feizi
2023	J	`jnl`	Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. CoRR Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
2022	J	`jnl`	Certifying Model Accuracy under Distribution Shifts. CoRR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2022	A*	`conf`	Policy Smoothing for Provably Robust Reinforcement Learning. ICLR Aounon Kumar, Alexander Levine, Soheil Feizi
2021	J	`jnl`	Center Smoothing for Certifiably Robust Vector-Valued Functions. CoRR Aounon Kumar, Tom Goldstein
2021	A*	`conf`	Center Smoothing: Certified Robustness for Networks with Structured Outputs. NeurIPS Aounon Kumar, Tom Goldstein
2021	J	`jnl`	Policy Smoothing for Provably Robust Reinforcement Learning. CoRR Aounon Kumar, Alexander Levine, Soheil Feizi
2020	A*	`conf`	Certifying Confidence via Randomized Smoothing. NeurIPS Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
2020	J	`jnl`	Certifying Confidence via Randomized Smoothing. CoRR Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
2020	A*	`conf`	Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. ICML Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2020	J	`jnl`	Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. CoRR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2020	J	`jnl`	Detection as Regression: Certified Object Detection by Median Smoothing. CoRR Ping-Yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein
2020	A*	`conf`	Detection as Regression: Certified Object Detection with Median Smoothing. NeurIPS Ping-Yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein
2020	J	`jnl`	Tight Second-Order Certificates for Randomized Smoothing. CoRR Alexander Levine, Aounon Kumar, Thomas A. Goldstein, Soheil Feizi
2019	—	`conf`	On the Cost of Essentially Fair Clusterings. APPROX-RANDOM Ioana Oriana Bercea, Martin Groß, Samir Khuller, Aounon Kumar, Clemens Rösner, Daniel R. Schmidt, Melanie Schmidt
2018	J	`jnl`	On the cost of essentially fair clusterings. CoRR Ioana Oriana Bercea, Martin Groß, Samir Khuller, Aounon Kumar, Clemens Rösner, Daniel R. Schmidt, Melanie Schmidt
2016	—	`conf`	Capacitated k-Center Problem with Vertex Weights. FSTTCS Aounon Kumar