Thomas Steinke 个人学术档案

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	总计	2019 年至今
引用	5554	4989
h 指数	33	31
i10 指数	45	43

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Jonathan UllmanAssociate Professor of Computer Science, Northeastern University在 ccs.neu.edu 的电子邮件经过验证
Mark BunAssistant Professor, Boston University在 bu.edu 的电子邮件经过验证
Salil VadhanVicky Joseph Professor of Computer Science and Applied Mathematics, Harvard University在 g.harvard.edu 的电子邮件经过验证
Adam SmithProfessor of Computer Science, Boston University在 bu.edu 的电子邮件经过验证
Kobbi NissimDept. of Computer Science (Georgetown)在 georgetown.edu 的电子邮件经过验证
Abhradeep Guha ThakurtaGoogle Research - Brain Team在 google.com 的电子邮件经过验证
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector Institute在 uwaterloo.ca 的电子邮件经过验证
Cynthia DworkMicrosoft Research在 microsoft.com 的电子邮件经过验证
Heiko LudwigResearch Manager, IBM Research在 us.ibm.com 的电子邮件经过验证
Stacey TruexAssistant Professor, Denison University在 denison.edu 的电子邮件经过验证
Ali AnwarAssistant Professor, University of Minnesota在 umn.edu 的电子邮件经过验证
Rui ZhangFormerly IBM Research - Almaden在 us.ibm.com 的电子邮件经过验证
Uri StemmerTel Aviv University在 tau.ac.il 的电子邮件经过验证
Om ThakkarSenior Research Scientist, Google在 google.com 的电子邮件经过验证
Arun GaneshResearch Scientist, Google在 google.com 的电子邮件经过验证
Nathalie BaracaldoIBM Almaden Research Center, Senior Research Staff Member, Ph.D.在 pitt.edu 的电子邮件经过验证
Yi ZhouResearch Staff Member, IBM Research在 ibm.com 的电子邮件经过验证
Zhiwei Steven WuCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Marco GaboardiBoston University在 bu.edu 的电子邮件经过验证
Alexandra WoodBerkman Klein Center for Internet & Society at Harvard University在 cyber.law.harvard.edu 的电子邮件经过验证

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Thomas Steinke

Google DeepMind

在 google.com 的电子邮件经过验证 - 首页

Differential Privacy Machine Learning Generalization Pseudorandomness


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
A hybrid approach to privacy-preserving federated learning S Truex, N Baracaldo, A Anwar, T Steinke, H Ludwig, R Zhang, Y Zhou Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019	936	2019
Concentrated differential privacy: Simplifications, extensions, and lower bounds M Bun, T Steinke Theory of Cryptography Conference, 635-658, 2016	898	2016
Algorithmic stability for adaptive data analysis R Bassily, K Nissim, A Smith, T Steinke, U Stemmer, J Ullman SIAM Journal on Computing 50 (3), STOC16-377-STOC16-405, 2021	319*	2021
Differential Privacy: A Primer for a Non-Technical Audience. A Wood, M Altman, A Bembenek, M Bun, M Gaboardi, J Honaker, ... Vanderbilt Journal of Entertainment & Technology Law 21 (1), 2018	308	2018
Exposed! a survey of attacks on private data C Dwork, A Smith, T Steinke, J Ullman Annual Review of Statistics and Its Application 4, 61-84, 2017	283	2017
The Discrete Gaussian for Differential Privacy C Canonne, G Kamath, T Steinke arxiv preprint, arxiv:2004.00010, 2020	247	2020
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation P Kairouz, Z Liu, T Steinke ICML 2021, 2021	209	2021
Robust Traceability from Trace Amounts C Dwork, A Smith, T Steinke, J Ullman, S Vadhan 56th Annual IEEE Symposium on Foundations of Computer Science (FOCS) 56 …, 2015	195	2015
Composable and Versatile Privacy via Truncated CDP M Bun, C Dwork, GN Rothblum, T Steinke 50th Annual ACM Symposium on the Theory of Computing (STOC), 2018	182	2018
Reasoning About Generalization via Conditional Mutual Information T Steinke, L Zakynthinou COLT, arxiv:2001.09122, 2020	165	2020
Between pure and approximate differential privacy T Steinke, J Ullman arXiv preprint arXiv:1501.06095, 2015	153	2015
Interactive fingerprinting codes and the hardness of preventing false discovery T Steinke, J Ullman Conference on Learning Theory, 1588-1628, 2015	116	2015
Hyperparameter Tuning with Renyi Differential Privacy N Papernot, T Steinke arxiv:2110.03620, 2021	96	2021
Bridging the gap between computer science and legal approaches to privacy K Nissim, A Bembenek, A Wood, M Bun, M Gaboardi, U Gasser, D O’Brien, ... Harvard Journal of Law & Technology 31, 2017	93	2017
Private Hypothesis Selection M Bun, G Kamath, T Steinke, ZS Wu IEEE Transactions on Information Theory 67 (3), 1981-2000, 2021	89	2021
New Oracle-Efficient Algorithms for Private Synthetic Data Release G Vietri, G Tian, M Bun, T Steinke, S Wu ICML, 2020	81	2020
Tight lower bounds for differentially private selection T Steinke, J Ullman Foundations of Computer Science (FOCS), 2017 IEEE 58th Annual Symposium on …, 2017	80	2017
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation M Bun, T Steinke NeurIPS, 2019	73	2019
Pseudorandomness for regular branching programs via fourier analysis O Reingold, T Steinke, S Vadhan Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2013	72	2013
Evading the Curse of Dimensionality in Unconstrained Private GLMs S Song, T Steinke, O Thakkar, A Thakurta AISTATS, 2021	67	2021

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