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Aounon Kumar
Aounon Kumar
Research Associate, Harvard University
Verified email at hbs.edu - Homepage
Title
Cited by
Cited by
Year
Can AI-generated text be reliably detected?
VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi
arXiv preprint arXiv:2303.11156, 2023
3382023
On the cost of essentially fair clusterings
IO Bercea, M Groß, S Khuller, A Kumar, C Rösner, DR Schmidt, ...
arXiv preprint arXiv:1811.10319, 2018
1272018
Curse of dimensionality on randomized smoothing for certifiable robustness
A Kumar, A Levine, T Goldstein, S Feizi
International Conference on Machine Learning, 5458-5467, 2020
952020
Certifying llm safety against adversarial prompting
A Kumar, C Agarwal, S Srinivas, AJ Li, S Feizi, H Lakkaraju
arXiv preprint arXiv:2309.02705, 2023
862023
Detection as regression: Certified object detection with median smoothing
P Chiang, M Curry, A Abdelkader, A Kumar, J Dickerson, T Goldstein
Advances in Neural Information Processing Systems 33, 1275-1286, 2020
682020
Policy smoothing for provably robust reinforcement learning
A Kumar, A Levine, S Feizi
arXiv preprint arXiv:2106.11420, 2021
502021
Certifying confidence via randomized smoothing
A Kumar, A Levine, S Feizi, T Goldstein
Advances in Neural Information Processing Systems 33, 5165-5177, 2020
402020
Robustness of ai-image detectors: Fundamental limits and practical attacks
M Saberi, VS Sadasivan, K Rezaei, A Kumar, A Chegini, W Wang, S Feizi
arXiv preprint arXiv:2310.00076, 2023
222023
Center smoothing: Certified robustness for networks with structured outputs
A Kumar, T Goldstein
Advances in Neural Information Processing Systems 34, 5560-5575, 2021
212021
Tight second-order certificates for randomized smoothing
A Levine, A Kumar, T Goldstein, S Feizi
arXiv preprint arXiv:2010.10549, 2020
122020
Certifying model accuracy under distribution shifts
A Kumar, A Levine, T Goldstein, S Feizi
arXiv preprint arXiv:2201.12440, 2022
82022
Manipulating large language models to increase product visibility
A Kumar, H Lakkaraju
arXiv preprint arXiv:2404.07981, 2024
52024
Towards safe and aligned large language models for medicine
T Han, A Kumar, C Agarwal, H Lakkaraju
arXiv preprint arXiv:2403.03744, 2024
52024
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization
A Kumar, A Levine, T Goldstein, S Feizi
ICLR 2023, 2023
52023
Capacitated k-center problem with vertex weights
A Kumar
36th IARCS Annual Conference on Foundations of Software Technology and …, 2016
52016
Towards safe large language models for medicine
T Han, A Kumar, C Agarwal, H Lakkaraju
ICML 2024 Workshop on Models of Human Feedback for AI Alignment, 2024
42024
Center Smoothing: Provable Robustness for Functions with Metric-Space Outputs
A Kumar, T Goldstein
arXiv preprint arXiv:2102.09701, 2021
4*2021
Provable Robustness for Streaming Models with a Sliding Window
A Kumar, VS Sadasivan, S Feizi
arXiv preprint arXiv:2303.16308, 2023
2023
Extending the Scope of Provable Adversarial Robustness in Machine Learning
A Kumar
University of Maryland, College Park, 2023
2023
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Articles 1–19