Abhradeep Thakurta
About
Abhradeep Thakurta has authored 31 papers that have received a total of 685 indexed citations.
This includes 30 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 7 papers in Computational Theory and Mathematics. The topics of these papers are Privacy-Preserving Technologies in Data (25 papers), Cryptography and Data Security (13 papers) and Stochastic Gradient Optimization Techniques (12 papers). Abhradeep Thakurta is often cited by papers focused on Privacy-Preserving Technologies in Data (25 papers), Cryptography and Data Security (13 papers) and Stochastic Gradient Optimization Techniques (12 papers) and collaborates with scholars based in United States, Israel and United Kingdom. Abhradeep Thakurta's co-authors include Adam Smith, Raef Bassily, Om Thakkar, Nicolas Papernot and Prateek Jain and has published in prestigious journals such as American Political Science Review, Journal of Machine Learning Research and SIAM Journal on Computing.
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