Om Thakkar
TitleCited byYear
Max-information, differential privacy, and post-selection hypothesis testing
R Rogers, A Roth, A Smith, O Thakkar
IEEE Symposium on Foundations of Computer Science 2016, 2016
372016
Towards Practical Differentially Private Convex Optimization
R Iyengar, JP Near, D Song, O Thakkar, A Thakurta, L Wang
IEEE Symposium on Security and Privacy 2019, 2019
102019
Model-Agnostic Private Learning
R Bassily, O Thakkar, A Thakurta
Neural Information Processing Systems 2018, 2018
8*2018
Differentially Private Matrix Completion, Revisited
P Jain, O Thakkar, A Thakurta
International Conference on Machine Learning 2018, 2018
32018
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
R Rogers, A Roth, A Smith, N Srebro, O Thakkar, B Woodworth
arXiv preprint arXiv:1906.09231, 2019
12019
Differentially Private Learning with Adaptive Clipping
O Thakkar, G Andrew, HB McMahan
arXiv preprint arXiv:1905.03871, 2019
12019
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Articles 1–6