Abhradeep Thakurta
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Cryptography and Data Security, Adversarial Robustness in Machine Learning, Mobile Crowdsensing and Crowdsourcing
Most-Cited Works
- → Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds(2014)639 cited
- → Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity(2019)250 cited
- → Discovering frequent patterns in sensitive data(2010)233 cited
- → GUPT(2012)220 cited
- → Analyze gauss(2014)178 cited
- Private Convex Empirical Risk Minimization and High-dimensional Regression(2012)
- Differentially Private Online Learning(2012)
- → Towards Practical Differentially Private Convex Optimization(2019)130 cited
- → How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy(2023)127 cited
- Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso(2013)