Local differential privacy based federated learning for Internet of Things Y Zhao, J Zhao, M Yang, T Wang, N Wang, L Lyu, D Niyato, KY Lam IEEE Internet of Things Journal, 2020 | 289 | 2020 |
A blockchain-based location privacy-preserving crowdsensing system M Yang, T Zhu, K Liang, W Zhou, RH Deng Future Generation Computer Systems 94, 408-418, 2019 | 191 | 2019 |
Local differential privacy and its applications: A comprehensive survey M Yang, T Guo, T Zhu, I Tjuawinata, J Zhao, KY Lam Computer Standards & Interfaces, 103827, 2023 | 130 | 2023 |
Machine learning differential privacy with multifunctional aggregation in a fog computing architecture M Yang, T Zhu, B Liu, Y Xiang, W Zhou IEEE Access 6, 17119-17129, 2018 | 77 | 2018 |
Density-based location preservation for mobile crowdsensing with differential privacy M Yang, T Zhu, Y Xiang, W Zhou Ieee Access 6, 14779-14789, 2018 | 48 | 2018 |
K-Means Clustering With Local dᵪ-Privacy for Privacy-Preserving Data Analysis M Yang, I Tjuawinata, KY Lam IEEE Transactions on Information Forensics and Security 17, 2524-2537, 2022 | 23 | 2022 |
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture M Yang, I Tjuawinata, KY Lam, J Zhao, L Sun IEEE Transactions on Services Computing, 1-1, 2020 | 23 | 2020 |
Privacy preserving collaborative filtering via the johnson-lindenstrauss transform M Yang, T Zhu, L Ma, Y Xiang, W Zhou 2017 IEEE Trustcom/BigDataSE/ICESS, 417-424, 2017 | 14 | 2017 |
Differentially private crowdsourcing with the public and private blockchain M Wang, T Zhu, X Zuo, M Yang, S Yu, W Zhou IEEE Internet of Things Journal, 2023 | 13 | 2023 |
Personalized privacy preserving collaborative filtering M Yang, T Zhu, Y Xiang, W Zhou Green, Pervasive, and Cloud Computing: 12th International Conference, GPC …, 2017 | 13 | 2017 |
An iteration-based differentially private social network data release T Zhu, M Yang, P Xiong, Y Xiang, W Zhou Computer systems science and engineering 33 (2), 61-69, 2018 | 9 | 2018 |
Bisample: Bidirectional sampling for handling missing data with local differential privacy L Sun, X Ye, J Zhao, C Lu, M Yang Proceedings of 25th International Conference on Database Systems for …, 2020 | 8 | 2020 |
Attacks and countermeasures in social network data publishing M YANG, T ZHU, W ZHOU, Y XIANG ZTE Communications 14 (S0), 2-9, 2019 | 8 | 2019 |
Differentially Private Distributed Frequency Estimation M Yang, I Tjuawinata, KY Lam, T Zhu, J Zhao IEEE Transactions on Dependable and Secure Computing, 2022 | 6 | 2022 |
Towards distributed privacy-preserving prediction L Lyu, YW Law, KS Ng, S Xue, J Zhao, M Yang, L Liu 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 6 | 2020 |
Differential private POI queries via Johnson-Lindenstrauss transform M Yang, T Zhu, B Liu, Y Xiang, W Zhou IEEE Access 6, 29685-29699, 2018 | 6 | 2018 |
Privacy-Enhanced Knowledge Transfer with Collaborative Split Learning over Teacher Ensembles Z Liu, J Guo, M Yang, W Yang, J Fan, KY Lam Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems …, 2023 | 5 | 2023 |
SPoFC: A framework for stream data aggregation with local differential privacy M Yang, KY Lam, T Zhu, C Tang Concurrency and Computation: Practice and Experience, e7572, 2022 | 3 | 2022 |
Simultaneously advising via differential privacy in cloud servers environment S Shen, T Zhu, D Ye, M Yang, T Liao, W Zhou Algorithms and Architectures for Parallel Processing: 19th International …, 2020 | 3 | 2020 |
K-Means Clustering with Local Distance Privacy M Yang, L Huang, C Tang Big Data Mining and Analytics 6 (4), 433-442, 2023 | 2 | 2023 |