Aounon Kumar 个人学术档案 - 学术资源搜索

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Soheil FeiziUniversity of Maryland, College Park在 cs.umd.edu 的电子邮件经过验证
Vinu Sankar SadasivanPhD Student at University of Maryland, College Park在 umd.edu 的电子邮件经过验证
Wenxiao WangUniversity of Maryland, College Park在 umd.edu 的电子邮件经过验证
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of Maryland在 cs.umd.edu 的电子邮件经过验证
Alexander LevinePostdoctoral Fellow, The University of Texas at Austin在 umd.edu 的电子邮件经过验证
Himabindu LakkarajuAssistant Professor, Harvard University在 seas.harvard.edu 的电子邮件经过验证
Sriram BalasubramanianPhD student, University of Maryland College Park在 umd.edu 的电子邮件经过验证
Chirag AgarwalPostdoctoral Research Fellow, Harvard在 hbs.edu 的电子邮件经过验证
Martin GroßRWTH Aachen在 oms.rwth-aachen.de 的电子邮件经过验证
samir khullerBarris Professor and Chair of Computer Science, Northwestern University在 northwestern.edu 的电子邮件经过验证
Daniel R. SchmidtHeinrich-Heine-Universität Düsseldorf在 uni-bonn.de 的电子邮件经过验证
Ioana O. BerceaAssistant Professor, KTH Royal Institute of Technology在 kth.se 的电子邮件经过验证
Melanie SchmidtHeinrich-Heine-Universität Düsseldorf在 hhu.de 的电子邮件经过验证
Suraj SrinivasPostdoctoral Research Fellow at Harvard University在 seas.harvard.edu 的电子邮件经过验证
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AI在 cs.umd.edu 的电子邮件经过验证
Ping-yeh ChiangUniversity of Maryland - College Park在 cs.umd.edu 的电子邮件经过验证
Ahmed AbdelkaderGoogle Research在 google.com 的电子邮件经过验证
Michael J CurryPostdoc, Harvard SEAS/University of Zurich在 seas.harvard.edu 的电子邮件经过验证
Mehrdad SaberiUniversity of Maryland在 umd.edu 的电子邮件经过验证
Keivan RezaeiPh.D. Student, University of Maryland在 umd.edu 的电子邮件经过验证

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Aounon Kumar

Postdoc, Harvard University

在 hbs.edu 的电子邮件经过验证 - 首页

Machine Learning Robustness Language Models Trustworthy ML


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Can AI-generated text be reliably detected? VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi arXiv preprint arXiv:2303.11156, 2023	282	2023
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	120	2018
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	89	2020
Certifying llm safety against adversarial prompting A Kumar, C Agarwal, S Srinivas, S Feizi, H Lakkaraju arXiv preprint arXiv:2309.02705, 2023	61	2023
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	60	2020
Policy smoothing for provably robust reinforcement learning A Kumar, A Levine, S Feizi arXiv preprint arXiv:2106.11420, 2021	46	2021
Certifying confidence via randomized smoothing A Kumar, A Levine, S Feizi, T Goldstein Advances in Neural Information Processing Systems 33, 5165-5177, 2020	38	2020
Center smoothing: Certified robustness for networks with structured outputs A Kumar, T Goldstein Advances in Neural Information Processing Systems 34, 5560-5575, 2021	20	2021
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	16	2023
Tight second-order certificates for randomized smoothing A Levine, A Kumar, T Goldstein, S Feizi arXiv preprint arXiv:2010.10549, 2020	11	2020
Certifying model accuracy under distribution shifts A Kumar, A Levine, T Goldstein, S Feizi arXiv preprint arXiv:2201.12440, 2022	6	2022
Capacitated k-center problem with vertex weights A Kumar 36th IARCS Annual Conference on Foundations of Software Technology and …, 2016	5	2016
Manipulating large language models to increase product visibility A Kumar, H Lakkaraju arXiv preprint arXiv:2404.07981, 2024	4	2024
Towards safe and aligned large language models for medicine T Han, A Kumar, C Agarwal, H Lakkaraju arXiv preprint arXiv:2403.03744, 2024	3	2024
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization A Kumar, A Levine, T Goldstein, S Feizi ICLR 2023, 2023	3	2023
Center Smoothing: Provable Robustness for Functions with Metric-Space Outputs A Kumar, T Goldstein arXiv preprint arXiv:2102.09701, 2021	3*	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		2023

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