| 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 | 398 | 2020 |
| Local differential privacy and its applications: A comprehensive survey M Yang, T Guo, T Zhu, I Tjuawinata, J Zhao, KY Lam Computer Standards & Interfaces 89, 103827, 2024 | 210 | 2024 |
| 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 | 208 | 2019 |
| 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 | 84 | 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 | 52 | 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 | 36 | 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 | 32 | 2020 |
| 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 10 (10), 8918-8930, 2023 | 20 | 2023 |
| 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 | 16 | 2017 |
| Personalized privacy preserving collaborative filtering M Yang, T Zhu, Y Xiang, W Zhou Green, Pervasive, and Cloud Computing: 12th International Conference, GPC …, 2017 | 14 | 2017 |
| 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 | 13 | 2020 |
| K-Means Clustering with Local Distance Privacy M Yang, L Huang, C Tang Big Data Mining and Analytics 6 (4), 433-442, 2023 | 11 | 2023 |
| 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 | 11 | 2020 |
| Differentially Private Distributed Frequency Estimation M Yang, I Tjuawinata, KY Lam, T Zhu, J Zhao IEEE Transactions on Dependable and Secure Computing 20 (5), 3910-3926, 2022 | 9 | 2022 |
| 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 |
| 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 | 8 | 2023 |
| 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 |
| Differential private POI queries via Johnson-Lindenstrauss transform M Yang, T Zhu, B Liu, Y Xiang, W Zhou IEEE Access 6, 29685-29699, 2018 | 7 | 2018 |
| Mining frequent items from high-dimensional set-valued data under local differential privacy protection H Wu, R Ran, S Peng, M Yang, T Guo Expert Systems with Applications 234, 121105, 2023 | 5 | 2023 |
| 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 | 4 | 2020 |
Tianqing ZhuCity University of MacauDirección de correo verificada de cityu.edu.mo
