papers
Publications (9)
cs.DB2014
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy
Chao Li, Michael Hay, Gerome Miklau +1
cs.DB2010
Boosting the Accuracy of Differentially-Private Histograms Through Consistency
Michael Hay, Vibhor Rastogi, Gerome Miklau +1
cs.LG2017
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models
Garrett Bernstein, Ryan McKenna, Tao Sun +3
cs.DB2018
Optimizing error of high-dimensional statistical queries under differential privacy
Ryan McKenna, Gerome Miklau, Michael Hay +1
cs.DB2010
Optimizing Histogram Queries under Differential Privacy
Chao Li, Michael Hay, Vibhor Rastogi +2
cs.DB2018
Differentially Private Hierarchical Count-of-Counts Histograms
Yu-Hsuan Kuo, Cho-Chun Chiu, Daniel Kifer +2
cs.LG2012
An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching
Ben Wellner, Andrew McCallum, Fuchun Peng +1
cs.DB2019
Ektelo: A Framework for Defining Differentially-Private Computations
Dan Zhang, Ryan McKenna, Ios Kotsogiannis +4
cs.DB2015
Principled Evaluation of Differentially Private Algorithms using DPBench
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau +2