37 citations · 66 across the 4 of their papers we have counts for
3 papers · 1 filter
Accurate and Efficient Private Release of Datacubes and Contingency Tables
Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava +1
A central problem in releasing aggregate information about sensitive data is to do so accurately while providing a privacy guarantee on the output. Recent work focuses on the class…
Differentially Private Publication of Sparse Data
Graham Cormode, Magda Procopiuc, Divesh Srivastava +1
The problem of privately releasing data is to provide a version of a dataset without revealing sensitive information about the individuals who contribute to the data. The model of…
Differentially Private Spatial Decompositions
Graham Cormode, Magda Procopiuc, Entong Shen +2
Differential privacy has recently emerged as the de facto standard for private data release. This makes it possible to provide strong theoretical guarantees on the privacy and util…