2 papers
stat.AP2019
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge
Claire McKay Bowen, Joshua Snoke
Differentially private synthetic data generation offers a recent solution to release analytically useful data while preserving the privacy of individuals in the data. In order to u…
stat.AP2018
Differentially Private Data Release via Statistical Election to Partition Sequentially
Claire McKay Bowen, Fang Liu, Binyue Su
Differential Privacy (DP) formalizes privacy in mathematical terms and provides a robust concept for privacy protection. DIfferentially Private Data Synthesis (DIPS) techniques pro…