54 citations · 74 across the 10 of their papers we have counts for
4 papers · 1 filter
Privacy-preserving Inference of Group Mean Difference in Zero-inflated Right Skewed Data with Partitioning and Censoring
Fang Liu, Ruyu Zhou, Yiming Paul Li +2
We examine privacy-preserving inferences of group mean differences in zero-inflated right-skewed (zirs) data. Zero inflation and right skewness are typical characteristics of ads c…
Statistical Properties of Sanitized Results from Differentially Private Laplace Mechanism with Univariate Bounding Constraints
Fang Liu
Protection of individual privacy is a common concern when releasing and sharing data and information. Differential privacy (DP) formalizes privacy in probabilistic terms without ma…
Model-based Differentially Private Data Synthesis and Statistical Inference in Multiply Synthetic Differentially Private Data
Fang Liu
We propose the approach of model-based differentially private synthesis (modips) in the Bayesian framework for releasing individual-level surrogate/synthetic datasets with privacy…
Comparative Study of Differentially Private Data Synthesis Methods
Claire McKay Bowen, Fang Liu
When sharing data among researchers or releasing data for public use, there is a risk of exposing sensitive information of individuals in the data set. Data synthesis (DS) is a sta…