13 citations · 14 across the 7 of their papers we have counts for
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cs.CR2022
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization
Honglu Jiang, Haotian Yu, Xiuzhen Cheng +3
A large amount of high-dimensional and heterogeneous data appear in practical applications, which are often published to third parties for data analysis, recommendations, targeted…
cs.CR2021
Differentially Private Data Publication with Multi-level Data Utility
Honglu Jiang, S M Sarwar, Haotian Yu +1
Conventional private data publication mechanisms aim to retain as much data utility as possible while ensuring sufficient privacy protection on sensitive data. Such data publicatio…
cs.CR2021
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity
Honglu Jiang, Yifeng Gao, S M Sarwar +2
Differential privacy (DP) has become the de facto standard of privacy preservation due to its strong protection and sound mathematical foundation, which is widely adopted in differ…