Raef Bassily 个人学术档案 - 学术资源搜索

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Abhradeep Guha ThakurtaGoogle Research - Brain Team在 google.com 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
Sennur UlukusProfessor of Electrical and Computer Engineering, University of Maryland在 umd.edu 的电子邮件经过验证
Cristobal GuzmanPontificia Universidad Católica de Chile在 mat.uc.cl 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
Kobbi NissimDept. of Computer Science (Georgetown)在 georgetown.edu 的电子邮件经过验证
Shay Moran(Math, CS, & DDS, Technion) & (Google Research)在 google.com 的电子邮件经过验证
Atanas RountevProfessor of Computer Science在 cse.ohio-state.edu 的电子邮件经过验证
Jonathan UllmanAssociate Professor of Computer Science, Northeastern University在 ccs.neu.edu 的电子邮件经过验证
Kunal TalwarApple Inc在 apple.com 的电子邮件经过验证
Vitaly FeldmanApple ML Research在 apple.com 的电子邮件经过验证
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon Scholar在 ucsd.edu 的电子邮件经过验证
Siyuan MaThe Ohio State University在 cse.ohio-state.edu 的电子邮件经过验证
Thomas SteinkeGoogle DeepMind在 google.com 的电子邮件经过验证
Raman AroraDepartment of Computer Science, Johns Hopkins University在 cs.jhu.edu 的电子邮件经过验证
Amir YehudayoffDIKU, University of Copenhagen, and Department of Mathematics, Technion在 technion.ac.il 的电子邮件经过验证
Jonathan ShaferMIT在 mit.edu 的电子邮件经过验证
Aylin YenerRoy and Lois Chope Professor, The Ohio State University在 ece.osu.edu 的电子邮件经过验证
Matthieu BlochProfessor of Electrical and Computer Engineering, Georgia Tech在 ece.gatech.edu 的电子邮件经过验证
Ender TekinAssociate Scientist, University of Wisconsin - Madison在 ieee.org 的电子邮件经过验证

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Raef Bassily

Associate Professor, Computer Science & Engineering, The Ohio State University

在 osu.edu 的电子邮件经过验证 - 首页

Machine learning Privacy-Preserving Data Analysis Information and Coding Theory Security


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
Private empirical risk minimization: Efficient algorithms and tight error bounds R Bassily, A Smith, A Thakurta 2014 IEEE 55th annual symposium on foundations of computer science, 464-473, 2014	1028	2014
Local, private, efficient protocols for succinct histograms R Bassily, A Smith Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015	503	2015
The power of interpolation: Understanding the effectiveness of SGD in modern over-parametrized learning S Ma, R Bassily, M Belkin International Conference on Machine Learning, 3325-3334, 2018	311	2018
Algorithmic stability for adaptive data analysis R Bassily, K Nissim, A Smith, T Steinke, U Stemmer, J Ullman Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016	289	2016
Practical locally private heavy hitters R Bassily, K Nissim, U Stemmer, A Guha Thakurta Advances in Neural Information Processing Systems 30, 2017	282	2017
Cooperative security at the physical layer: A summary of recent advances R Bassily, E Ekrem, X He, E Tekin, J Xie, MR Bloch, S Ulukus, A Yener IEEE Signal Processing Magazine 30 (5), 16-28, 2013	237	2013
Private stochastic convex optimization with optimal rates R Bassily, V Feldman, K Talwar, A Guha Thakurta Advances in neural information processing systems 32, 2019	235	2019
Stability of stochastic gradient descent on nonsmooth convex losses R Bassily, V Feldman, C Guzmán, K Talwar Advances in Neural Information Processing Systems 33, 4381-4391, 2020	177	2020
Learners that use little information R Bassily, S Moran, I Nachum, J Shafer, A Yehudayoff Algorithmic Learning Theory, 25-55, 2018	107	2018
Coupled-worlds privacy: Exploiting adversarial uncertainty in statistical data privacy R Bassily, A Groce, J Katz, A Smith 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, 439-448, 2013	106	2013
On exponential convergence of sgd in non-convex over-parametrized learning R Bassily, M Belkin, S Ma arXiv preprint arXiv:1811.02564, 2018	98	2018
Model-agnostic private learning R Bassily, O Thakkar, A Guha Thakurta Advances in neural information processing systems 31, 2018	76	2018
Deaf cooperation and relay selection strategies for secure communication in multiple relay networks R Bassily, S Ulukus IEEE Transactions on Signal Processing 61 (6), 1544-1554, 2012	66	2012
Non-euclidean differentially private stochastic convex optimization R Bassily, C Guzmán, A Nandi Conference on Learning Theory, 474-499, 2021	62	2021
Limits of private learning with access to public data N Alon, R Bassily, S Moran Advances in neural information processing systems 32, 2019	61	2019
Private query release assisted by public data R Bassily, A Cheu, S Moran, A Nikolov, J Ullman, S Wu International Conference on Machine Learning, 695-703, 2020	56	2020
Linear queries estimation with local differential privacy R Bassily The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	51	2019
Ergodic secret alignment R Bassily, S Ulukus IEEE Transactions on Information Theory 58 (3), 1594-1611, 2011	51	2011
Differentially private stochastic optimization: New results in convex and non-convex settings R Bassily, C Guzmán, M Menart Advances in Neural Information Processing Systems 34, 9317-9329, 2021	48	2021
Private empirical risk minimization, revisited R Bassily, A Smith, A Thakurta rem 3, 19, 2014	47	2014

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