9 citations · 53 across the 23 of their papers we have counts for
6 papers · 1 filter
Utility-efficient Differentially Private K-means Clustering based on Cluster Merging
Tianjiao Ni, Minghao Qiao, Zhili Chen +2
Differential privacy is widely used in data analysis. State-of-the-art -means clustering algorithms with differential privacy typically add an equal amount of noise to centroids…
DCDChain: A Credible Architecture of Digital Copyright Detection Based on Blockchain
Zhili Chen, Yuting Wang, Tianjiao Ni
Copyright detection is an effective method to prevent piracy. However, untrustworthy detection parties may lead to falsified detection results. Due to its credibility and tamper re…
A Differentially Private Framework for Spatial Crowdsourcing with Historical Data Learning
Shun Zhang, Benfei Duan, Zhili Chen +2
Spatial crowdsourcing (SC) is an increasing popular category of crowdsourcing in the era of mobile Internet and sharing economy. It requires workers to arrive at a particular locat…
Secure Computation Framework for Multiple Data Providers Against Malicious Adversaries
Zhili Chen, Xin Chen
Due to the great development of secure multi-party computation, many practical secure computation schemes have been proposed. As an example, different secure auction mechanisms hav…
Fair Auction and Trade Framework for Cloud VM Allocation based on Blockchain
Zhili Chen, Wei Ding, Yan Xu +2
Cloud auctions provide cost-effective strategies for cloud VM allocation. Most existing cloud auctions simply assume that the auctioneer is trustable, and thus the fairness of auct…
Differentially Private Combinatorial Cloud Auction
Tianjiao Ni, Zhili Chen, Lin Chen +3
Cloud service providers typically provide different types of virtual machines (VMs) to cloud users with various requirements. Thanks to its effectiveness and fairness, auction has…