4 citations · 9 across the 5 of their papers we have counts for
5 papers
FOBNN: Fast Oblivious Inference via Binarized Neural Networks
Xin Chen, Zhili Chen, Shiwen Wei +2
The remarkable performance of deep learning has sparked the rise of Deep Learning as a Service (DLaaS), allowing clients to send their personal data to service providers for model…
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…
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…
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…