3 citations · 6 across the 6 of their papers we have counts for
6 papers · 1 filter
Computing Maximal Per-Record Leakage and Leakage-Distortion Functions for Privacy Mechanisms under Entropy-Constrained Adversaries
Genqiang Wu, Xiaoying Zhang, Yu Qi +3
The exponential growth of data collection necessitates robust privacy protections that preserve data utility. We address information disclosure against adversaries with bounded pri…
Constructing Privacy Channels from Information Channels
Genqiang Wu
Data privacy protection studies how to query a dataset while preserving the privacy of individuals whose sensitive information is contained in the dataset. The information privacy…
On the Information Privacy Model: the Group and Composition Privacy
Genqiang Wu
How to query a dataset in the way of preserving the privacy of individuals whose data is included in the dataset is an important problem. The information privacy model, a variant o…
Achieving Dalenius' Goal of Data Privacy with Practical Assumptions
Genqiang Wu, Xianyao Xia, Yeping He
Current differential privacy frameworks face significant challenges: vulnerability to correlated data attacks and suboptimal utility-privacy tradeoffs. To address these limitations…
Analytic Theory to Differential Privacy
Genqiang Wu, Xianyao Xia, Yeping He
The purpose of this paper is to develop a mathematical analysis theory to solve differential privacy problems. The heart of our approaches is to use analytic tools to characterize…
Inherit Differential Privacy in Distributed Setting: Multiparty Randomized Function Computation
Genqiang Wu, Yeping He, Jingzheng Wu +1
How to achieve differential privacy in the distributed setting, where the dataset is distributed among the distrustful parties, is an important problem. We consider in what conditi…