A private and computationally-efficient estimator for unbounded gaussians G Kamath, A Mouzakis, V Singhal, T Steinke, J Ullman Conference on Learning Theory, 544-572, 2022 | 52 | 2022 |
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma G Kamath, A Mouzakis, V Singhal arXiv preprint arXiv:2205.08532, 2022 | 42 | 2022 |
A bias-variance-privacy trilemma for statistical estimation G Kamath, A Mouzakis, M Regehr, V Singhal, T Steinke, J Ullman arXiv preprint arXiv:2301.13334, 2023 | 14 | 2023 |
Private Mean Estimation with Person-Level Differential Privacy S Agarwal, G Kamath, M Majid, A Mouzakis, R Silver, J Ullman arXiv preprint arXiv:2405.20405, 2024 | 2 | 2024 |
Not all learnable distribution classes are privately learnable M Bun, G Kamath, A Mouzakis, V Singhal International Conference on Algorithmic Learning Theory, 390-401, 2024 | 2 | 2024 |