9 citations · 37 across the 14 of their papers we have counts for
14 papers
Efficient reversible data hiding via two layers of double-peak embedding
Fuhu Wu, Jian Sun, Shun Zhang +2
Reversible data hiding continues to attract significant attention in recent years. In particular, an increasing number of authors focus on the higher significant bit (HSB) plane of…
DPIVE: A Regionalized Location Obfuscation Scheme with Personalized Privacy Levels
Shun Zhang, Pengfei Lan, Benfei Duan +3
The popularity of cyber-physical systems is fueling the rapid growth of location-based services. This poses the risk of location privacy disclosure. Effective privacy preservation…
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…
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…
Privacy-preserving Double Auction Mechanism Based on Homomorphic Encryption and Sorting Networks
Yin Xu, Zhili Chen, Hong Zhong
As an effective resource allocation approach, double auctions (DAs) have been extensively studied in electronic commerce. Most previous studies have focused on how to design strate…
Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics
Zhili Chen, Xiaoli Kan, Shun Zhang +3
With the rapid development of GPS enabled devices (smartphones) and location-based applications, location privacy is increasingly concerned. Intuitively, it is widely believed that…
Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering
Zhili Chen, Yu Wang, Shun Zhang +2
Collaborative filtering (CF) recommendation algorithms are well-known for their outstanding recommendation performances, but previous researches showed that they could cause privac…
Probabilistic Matrix Factorization with Personalized Differential Privacy
Shun Zhang, Laixiang Liu, Zhili Chen +1
Probabilistic matrix factorization (PMF) plays a crucial role in recommendation systems. It requires a large amount of user data (such as user shopping records and movie ratings) t…
PP-MCSA: Privacy Preserving Multi-Channel Double Spectrum Auction
Zhili Chen, Sheng Chen, Hong Zhong +2
Auction is widely regarded as an effective way in dynamic spectrum redistribution. Recently, considerable research efforts have been devoted to designing privacy-preserving spectru…
Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter
Zhili Chen, Xuemei Wei, Hong Zhong +3
Truthful spectrum auction is believed to be an effective method for spectrum redistribution. However, privacy concerns have largely hampered the practical applications of truthful…
Differentially Private Double Spectrum Auction with Approximate Social Welfare Maximization
Zhili Chen, Tianjiao Ni, Hong Zhong +2
Spectrum auction is an effective approach to improving spectrum utilization, by leasing idle spectrum from primary users to secondary users. Recently, a few differentially private…