Aounon Kumar

According to our database, Aounon Kumar authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Manipulating Large Language Models to Increase Product Visibility.

Aounon Kumar, Himabindu Lakkaraju

CoRR, 2024

Towards Safe and Aligned Large Language Models for Medicine.

Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju

CoRR, 2024

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.

Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Extending the Scope of Provable Adversarial Robustness in Machine Learning.

Aounon Kumar

PhD thesis, 2023

Certifying LLM Safety against Adversarial Prompting.

Aounon Kumar, Chirag Agarwal, Suraj Srinivas, Soheil Feizi, Hima Lakkaraju

CoRR, 2023

Provable Robustness for Streaming Models with a Sliding Window.

Aounon Kumar, Vinu Sankar Sadasivan, Soheil Feizi

CoRR, 2023

Can AI-Generated Text be Reliably Detected?

Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi

CoRR, 2023

Provable Robustness against Wasserstein Distribution Shifts via Input Randomization.

Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Certifying Model Accuracy under Distribution Shifts.

Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi

CoRR, 2022

Policy Smoothing for Provably Robust Reinforcement Learning.

Aounon Kumar, Alexander Levine, Soheil Feizi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Center Smoothing for Certifiably Robust Vector-Valued Functions.

Aounon Kumar, Tom Goldstein

CoRR, 2021

Center Smoothing: Certified Robustness for Networks with Structured Outputs.

Aounon Kumar, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Tight Second-Order Certificates for Randomized Smoothing.

Alexander Levine, Aounon Kumar, Thomas A. Goldstein, Soheil Feizi

CoRR, 2020

Detection as Regression: Certified Object Detection by Median Smoothing.

Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein

CoRR, 2020

Certifying Confidence via Randomized Smoothing.

Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Detection as Regression: Certified Object Detection with Median Smoothing.

Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness.

Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

On the Cost of Essentially Fair Clusterings.

Ioana Oriana Bercea, Martin Groß, Samir Khuller, Aounon Kumar, Clemens Rösner, Daniel R. Schmidt, Melanie Schmidt

Proceedings of the Approximation, 2019

2016

Capacitated k-Center Problem with Vertex Weights.

Aounon Kumar

Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2016