On the Sample Complexity of Privately Learning Axis-Aligned Rectangles

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

Differentially Private Approximate Quantiles

von Kaplan, Haim
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 13 of 33 (2023)

Separating Adaptive Streaming from Oblivious Streaming Using the Bounded Storage Model

von Kaplan, Haim
Veröffentlicht in CRYPTO (41. : 2021 : Online) Advances in cryptology - CRYPTO 2021 ; Part 3 (2021)

On the Round Complexity of the Shuffle Model

von Beimel, Amos
Veröffentlicht in Theory of Cryptography Conference (18. : 2020 : Online) Theory of cryptography ; Part 2 (2020)

Differentially Private Multi-Armed Bandits in the Shuffle Model

von Tenenbaum, Jay
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 30 of 36 (2022)

PRIVATE LEARNING OF HALFSPACES: SIMPLIFYING THE CONSTRUCTION AND REDUCING THE SAMPLE COMPLEXITY

von Kaplan, Haim
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 17 of 27 (2021)

MPC for Tech Giants (GMPC): Enabling Gulliver and the Lilliputians to Cooperate Amicably

von Alon, Bar
Veröffentlicht in Annual International Cryptology Conference (44. : 2024 : Santa Barbara, Calif.) Advances in cryptology - CRYPTO 2024 ; Part 8 (2024)

On Differential Privacy and Adaptive Data Analysis with Bounded Space

von Dinur, Itai
Veröffentlicht in EUROCRYPT (42. : 2023 : Lyon) Advances in cryptology - EUROCRYPT 2023 ; Part 3 (2023)

FriendlyCore: Practical Differentially Private Aggregation

von Tsfadia, Eliad
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 27 of 33 (2023)

ADVERSARIALLY ROBUST STREAMING ALGORITHMS VIA DIFFERENTIAL PRIVACY

von Hasidim, Avinatan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

DIFFERENTIALLY-PRIVATE CLUSTERING OF EASY INSTANCES

von COHEN, EDITH
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 3 of 16 (2022)