| PPFA: Privacy preserving fog-enabled aggregation in smart grid L Lyu, K Nandakumar, B Rubinstein, J Jin, J Bedo, M Palaniswami IEEE Transactions on Industrial Informatics 14 (8), 3733-3744, 2018 | 88 | 2018 |
| Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering L Lyu, J Jin, S Rajasegarar, X He, M Palaniswami IEEE Internet of Things Journal 4 (5), 1174-1184, 2017 | 42 | 2017 |
| Deep learning aided grant-free NOMA toward reliable low-latency access in tactile Internet of Things N Ye, X Li, H Yu, A Wang, W Liu, X Hou IEEE Transactions on Industrial Informatics 15 (5), 2995-3005, 2019 | 26 | 2019 |
| Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices YL Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li ... IEEE Internet of Things Journal, 2020 | 25* | 2020 |
| Privacy-preserving collaborative deep learning with application to human activity recognition L Lyu, X He, YW Law, M Palaniswami Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 17 | 2017 |
| Threats to federated learning: A survey L Lyu, H Yu, Q Yang arXiv preprint arXiv:2003.02133, 2020 | 15 | 2020 |
| Towards Fair and Privacy-Preserving Federated Deep Models L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin, H Yu, KS Ng IEEE Transactions on Parallel and Distributed Systems 31 (11), 2524-2541, 2020 | 13* | 2020 |
| Fog-embedded deep learning for the internet of things L Lyu, JC Bezdek, X He, J Jin IEEE Transactions on Industrial Informatics 15 (7), 4206-4215, 2019 | 13 | 2019 |
| Privacy-preserving collaborative fuzzy clustering L Lyu, JC Bezdek, YW Law, X He, M Palaniswami Data & Knowledge Engineering 116, 21-41, 2018 | 13 | 2018 |
| Differentially Private Knowledge Distillation for Mobile Analytics L Lyu, CH Chen Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 9 | 2020 |
| An improved scheme for privacy-preserving collaborative anomaly detection L Lyu, YW Law, SM Erfani, C Leckie, M Palaniswami 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016 | 9 | 2016 |
| Privacy-preserving aggregation of smart metering via transformation and encryption L Lyu, YW Law, J Jin, M Palaniswami 2017 IEEE Trustcom/BigDataSE/ICESS, 472-479, 2017 | 6 | 2017 |
| Local differential privacy and its applications: A comprehensive survey M Yang, L Lyu, J Zhao, T Zhu, KY Lam arXiv preprint arXiv:2008.03686, 2020 | 5 | 2020 |
| 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 arXiv preprint arXiv:2004.08856, 2020 | 3 | 2020 |
| Privacy-preserving machine learning and data aggregation for Internet of Things L Lyu | 3 | 2018 |
| 基于直方图调整的抗几何攻击图像水印 吴康， 吕灵娟， 杨胜利， 孙锐 网络安全技术与应用, 46-49, 2011 | 3 | 2011 |
| Towards differentially private text representations L Lyu, Y Li, X He, T Xiao Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 2 | 2020 |
| FORESEEN: Towards differentially private deep inference for intelligent Internet of Things L Lyu, JC Bezdek, J Jin, Y Yang IEEE Journal on Selected Areas in Communications 38 (10), 2418-2429, 2020 | 2 | 2020 |
| How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning L Lyu, Y Li, K Nandakumar, J Yu, X Ma IEEE Transactions on Dependable and Secure Computing, 2020 | 2 | 2020 |
| Towards Distributed Privacy-Preserving Prediction L Lyu, YW Law, KS Ng, S Xue, J Zhao, M Yang, L Liu arXiv preprint arXiv:1910.11478, 2019 | 2 | 2019 |
Jiong JinSenior Lecturer, Swinburne University of Technology, Melbourne, AustraliaVerified email at swin.edu.au
