7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
Miguel Fuentes, Brett Mullins, Ryan McKenna +2
Mechanisms for generating differentially private synthetic data based on marginals and graphical models have been successful in a wide range of settings. However, one limitation of…
cs.DB2014★ 7 cited
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy
Chao Li, Michael Hay, Gerome Miklau +1
We describe a new algorithm for answering a given set of range queries under -differential privacy which often achieves substantially lower error than competing methods. Our alg…
cs.DB2012
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy
Chao Li, Gerome Miklau
We propose a novel mechanism for answering sets of count- ing queries under differential privacy. Given a workload of counting queries, the mechanism automatically selects a differ…