most citedDifferentially Private Release of High-Dimensional Datasets using the Gaussian Copula

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2021★ 1 cited

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…

cs.CR2019★ 2 cited

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…