LOSSLESS COMPRESSION OF EFFICIENT PRIVATE LOCAL RANDOMIZERS

von FELDMAN, VITALY
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)

Individual Privacy Accounting via a Rényi Filter

von Feldman, Vitaly
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)

WHAT NEURAL NETWORKS MEMORIZE AND WHY: DISCOVERING THE LONG TAIL VIA INFLUENCE ESTIMATION

von Feldman, Vitaly
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy

von Feldman, Vitaly
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (34. : 2023 : Florenz; Online) Thirty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023) ; Volume 7 of 7 (2023)

Statistical query algorithms for mean vector estimation and stochastic convex optimization

von Feldman, Vitaly
Veröffentlicht in Mathematics of operations research (2021)

Private Frequency Estimation Via Projective Geometry

von Feldman, Vitaly
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 8 of 33 (2023)

Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses

von Bassily, Raef
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 6 of 27 (2021)

Mean Estimation with User-level Privacy under Data Heterogeneity

von Cummings, Rachel
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 38 of 50 (2023)

PRIVATE STOCHASTIC CONVEX OPTIMIZATION: OPTIMAL RATES IN L1 GEOMETRY

von ASI, HILAL
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

PRIVATE STOCHASTIC CONVEX OPTIMIZATION WITH OPTIMAL RATES

von Bassily, Raef
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

von Duchi, John C
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 8 of 50 (2023)