AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data

von Mckenna, Ryan
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 4 of 6 (2023)

Relaxed Marginal Consistency for Differentially Private Query Answering

von McKenna, Ryan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

A workload-adaptive mechanism for linear queries under local differential privacy

von McKenna, Ryan
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 3 of 5 (2020)