Stebėti
Argyris Mouzakis
Pavadinimas
Cituota
Cituota
Metai
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
362022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
G Kamath, A Mouzakis, V Singhal
arXiv preprint arXiv:2205.08532, 2022
282022
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
102023
Not All Learnable Distribution Classes are Privately Learnable
M Bun, G Kamath, A Mouzakis, V Singhal
arXiv preprint arXiv:2402.00267, 2024
2024
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Straipsniai 1–4