activity
20202022
most citedApplications of Differential Privacy in Social Network Analysis: A Survey

13 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

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.DC2022

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…

cs.GT2022

Strategic Signaling for Utility Control in Audit Games

Jianan Chen, Qin Hu, Honglu Jiang

As an effective method to protect the daily access to sensitive data against malicious attacks, the audit mechanism has been widely deployed in various practical fields. In order t…

cs.GT2022★ 1 cited

Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning

Jianan Chen, Qin Hu, Honglu Jiang

As one of the typical settings of Federated Learning (FL), cross-silo FL allows organizations to jointly train an optimal Machine Learning (ML) model. In this case, some organizati…

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…

cs.SI2020★ 13 cited

Applications of Differential Privacy in Social Network Analysis: A Survey

Honglu Jiang, Jian Pei, Dongxiao Yu +3

Differential privacy is effective in sharing information and preserving privacy with a strong guarantee. As social network analysis has been extensively adopted in many application…