| 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 | 536 | 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 | 353 | 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 | 228 | 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 | 91 | 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 | 61 | 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 | 47 | 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 | 34 | 2020 |
| From 5g to 6g: A survey on security, privacy, and standardization pathways M Yang, Y Qu, T Ranbaduge, C Thapa, NH Sultan, M Ding, H Suzuki, ... ACM Computing Surveys, 2024 | 30 | 2024 |
| 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 | 30 | 2023 |
| K-means clustering with local distance privacy M Yang, L Huang, C Tang Big Data Mining and Analytics 6 (4), 433-442, 2023 | 23 | 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 | 17 | 2017 |
| 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 | 14 | 2020 |
| 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 | 14 | 2020 |
| Personalized privacy preserving collaborative filtering M Yang, T Zhu, Y Xiang, W Zhou International Conference on Green, Pervasive, and Cloud Computing, 371-385, 2017 | 14 | 2017 |
| Tabular data synthesis with differential privacy: A survey M Yang, CH Chi, KY Lam, J Feng, T Guo, W Ni arXiv preprint arXiv:2411.03351, 2024 | 12 | 2024 |
| An iteration-based differentially private social network data release. T Zhu, M Yang, P Xiong, Y Xiang, W Zhou Computer Systems Science & Engineering 33 (2), 2018 | 10 | 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 | 9 | 2023 |
| 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 | 9 | 2023 |
| 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 |
| Attacks and countermeasures in social network data publishing Y Mengmeng, ZHU Tianqing, Z Wanlei, X Yang ZTE Communications 14 (S0), 2-9, 2019 | 9 | 2019 |
Kwok-Yan LamNanyang Technological UniversityVerified email at ntu.edu.sg
