4 papers
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…
Blockchain-based Edge Resource Sharing for Metaverse
Zhilin Wang, Qin Hu, Minghui Xu +1
Although Metaverse has recently been widely studied, its practical application still faces many challenges. One of the severe challenges is the lack of sufficient resources for com…
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…
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…