Om Thakkar is an author at Google (United States) specializing in data privacy, computer science, and machine learning.
Top concepts
EngineeringData PrivacyComputer ScienceMachine LearningPrivacyData ScienceData SecurityFederated LearningInformation SecurityArtificial Intelligence
Publications per year
2019–2022
11
11
Towards Practical Differentially Private Convex Optimization
Roger Iyengar, Joseph P. Near, Dawn Song et al. · 2019 · 130 citations · Full text
Differentially Private Learning with Adaptive Clipping
Galen Andrew, Om Thakkar, H. Brendan McMahan et al. · arXiv (Cornell University) · 2019 · 89 citations · Full text
Artificial Intelligence, Privacy Protection, Engineering +17
Understanding Unintended Memorization in Language Models Under Federated Learning
Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews et al. · 2021 · 33 citations · Full text
Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz, Brendan McMahan, Shuang Song et al. · arXiv (Cornell University) · 2021 · 22 citations · Full text
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