9 citations · 53 across the 23 of their papers we have counts for
5 papers · 1 filter
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…