4 citations · 9 across the 5 of their papers we have counts for
5 papers
OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service
Songlei Wang, Yifeng Zheng, Xiaohua Jia +2
In recent years there has been growing popularity of leveraging cloud computing for storing and querying attributed graphs, which have been widely used to model complex structured…
SecSkyline: Fast Privacy-Preserving Skyline Queries over Encrypted Cloud Databases
Yifeng Zheng, Weibo Wang, Songlei Wang +3
The well-known benefits of cloud computing have spurred the popularity of database service outsourcing, where one can resort to the cloud to conveniently store and query databases.…
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
Yifeng Zheng, Shangqi Lai, Yi Liu +3
Federated learning has recently emerged as a paradigm promising the benefits of harnessing rich data from diverse sources to train high quality models, with the salient features th…
Optimizing Secure Decision Tree Inference Outsourcing
Yifeng Zheng, Cong Wang, Ruochen Wang +2
Outsourcing decision tree inference services to the cloud is highly beneficial, yet raises critical privacy concerns on the proprietary decision tree of the model provider and the…
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon Ryu, Yifeng Zheng, Yansong Gao +6
Collaborative inference has recently emerged as an attractive framework for applying deep learning to Internet of Things (IoT) applications by splitting a DNN model into several su…