10 citations · 22 across the 16 of their papers we have counts for
3 papers · 1 filter
Private Graph Data Release: A Survey
Yang Li, Michael Purcell, Thierry Rakotoarivelo +3
The application of graph analytics to various domains has yielded tremendous societal and economical benefits in recent years. However, the increasingly widespread adoption of grap…
Realistic Differentially-Private Transmission Power Flow Data Release
David Smith, Frederik Geth, Elliott Vercoe +5
For the modeling, design and planning of future energy transmission networks, it is vital for stakeholders to access faithful and useful power flow data, while provably maintaining…
Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula
Hassan Jameel Asghar, Ming Ding, Thierry Rakotoarivelo +2
We propose a generic mechanism to efficiently release differentially private synthetic versions of high-dimensional datasets with high utility. The core technique in our mechanism…