| A privacy-preserving deep learning approach for face recognition with edge computing Y Mao, S Yi, Q Li, J Feng, F Xu, S Zhong Proc. USENIX Workshop Hot Topics Edge Comput.(HotEdge), 1-6, 2018 | 75 | 2018 |
| Learning from Differentially Private Neural Activations with Edge Computing Y Mao, S Yi, Q Li, J Feng, F Xu, S Zhong 2018 IEEE/ACM Symposium on Edge Computing (SEC), 90-102, 2018 | 40 | 2018 |
| Romoa: Robust Model Aggregation for the Resistance of Federated Learning to Model Poisoning Attacks Y Mao, X Yuan, X Zhao, S Zhong European Symposium on Research in Computer Security, 476-496, 2021 | 28 | 2021 |
| Privacy-Preserving Computation Offloading for Parallel Deep Neural Networks Training Y Mao, W Hong, H Wang, Q Li, S Zhong IEEE Transactions on Parallel and Distributed Systems 32 (7), 1777-1788, 2020 | 23 | 2020 |
| Towards thwarting template side-channel attacks in secure cloud deduplications Y Zhang, Y Mao, M Xu, F Xu, S Zhong IEEE Transactions on Dependable and Secure Computing 18 (3), 1008-1018, 2019 | 18 | 2019 |
| An improved traffic congestion monitoring system based on federated learning C Xu, Y Mao Information 11 (7), 365, 2020 | 17 | 2020 |
| Joint differentially private Gale–Shapley mechanisms for location privacy protection in mobile traffic offloading systems Y Zhang, Y Mao, S Zhong IEEE Journal on Selected Areas in Communications 34 (10), 2738-2749, 2016 | 14 | 2016 |
| Towards Privacy-Preserving Aggregation for Collaborative Spectrum Sensing Y Mao, T Chen, Y Zhang, T Wang, S Zhong IEEE Transactions on Information Forensics and Security 12 (6), 1483-1493, 2017 | 10 | 2017 |
| Protecting location information in collaborative sensing of cognitive radio networks Y Mao, T Chen, Y Zhang, T Wang, S Zhong Proceedings of the 18th ACM International Conference on Modeling, Analysis …, 2015 | 10 | 2015 |
| Privacy preserving market schemes for mobile sensing Y Zhang, Y Mao, H Zhang, S Zhong 2015 44th International Conference on Parallel Processing, 909-918, 2015 | 9 | 2015 |
| Secure Deep Neural Network Models Publishing Against Membership Inference Attacks Via Training Task Parallelism Y Mao, W Hong, B Zhu, Z Zhu, Y Zhang, S Zhong IEEE Transactions on Parallel and Distributed Systems 33 (11), 3079-3091, 2021 | 8 | 2021 |
| Secure deduplication schemes for content delivery in mobile edge computing Y Lin, Y Mao, Y Zhang, S Zhong Computers & Security 114, 102602, 2022 | 7 | 2022 |
| Stemming Downlink Leakage from Training Sequences in Multi-User MIMO Networks Y Mao, Y Zhang, S Zhong Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications …, 2016 | 7 | 2016 |
| Private Deep Neural Network Models Publishing for Machine Learning as a Service Y Mao, B Zhu, W Hong, Z Zhu, Y Zhang, S Zhong 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS), 1-10, 2020 | 6 | 2020 |
| Secure TDD MIMO Networks Against Training Sequence Based Eavesdropping Attack Y Mao, Y He, Y Zhang, J Hua, S Zhong IEEE Transactions on Mobile Computing 19 (12), 2916-2932, 2019 | 5 | 2019 |
| Toward wireless security without computational assumptions—oblivious transfer based on wireless channel characteristics Z Hao, Y Mao, S Zhong, LE Li, H Yao, N Yu IEEE Transactions on Computers 63 (6), 1580-1593, 2014 | 5 | 2014 |
| Location privacy in public access points positioning: An optimization and geometry approach Y Mao, Y Zhang, X Zhang, F Xu, S Zhong Computers & Security 73, 425-438, 2018 | 3 | 2018 |
| Are You Moving as You Claim: GPS Trajectory Forgery and Detection in Location-Based Services H Yang, Z Xia, J Shin, J Hua, Y Mao, S Zhong 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 1 | 2022 |
| FLSwitch: Towards Secure and Fast Model Aggregation for Federated Deep Learning with a Learning State-Aware Switch Y Mao, Z Dang, Y Lin, T Zhang, Y Zhang, J Hua, S Zhong Applied Cryptography and Network Security: 21st International Conference …, 2023 | | 2023 |
| A Comprehensive Study of Trajectory Forgery and Detection in Location-Based Services H Yang, Z Xia, J Shin, J Hua, Y Mao, S Zhong IEEE Transactions on Mobile Computing, 2023 | | 2023 |
