| Classifying transportation mode and speed from trajectory data via deep multi-scale learning R Zhang, P Xie, C Wang, G Liu, S Wan Computer Networks 162, 106861, 2019 | 99 | 2019 |
| Recent advances in consensus protocols for blockchain: a survey S Wan, M Li, G Liu, C Wang Wireless networks 26, 5579-5593, 2020 | 76 | 2020 |
| Socinf: Membership inference attacks on social media health data with machine learning G Liu, C Wang, K Peng, H Huang, Y Li, W Cheng IEEE Transactions on Computational Social Systems 6 (5), 907-921, 2019 | 63 | 2019 |
| AFA: Adversarial fingerprinting authentication for deep neural networks J Zhao, Q Hu, G Liu, X Ma, F Chen, MM Hassan Computer Communications 150, 488-497, 2020 | 41 | 2020 |
| A survey of local differential privacy for securing internet of vehicles P Zhao, G Zhang, S Wan, G Liu, T Umer The Journal of Supercomputing 76, 8391-8412, 2020 | 33 | 2020 |
| MIASec: Enabling data indistinguishability against membership inference attacks in MLaaS C Wang, G Liu, H Huang, W Feng, K Peng, L Wang IEEE Transactions on Sustainable Computing 5 (3), 365-376, 2019 | 27 | 2019 |
| Synchronization-free GPS spoofing detection with crowdsourced air traffic control data G Liu, R Zhang, C Wang, L Liu 2019 20th IEEE International Conference on Mobile Data Management (MDM), 260-268, 2019 | 22 | 2019 |
| On the Performance of -Anonymity Against Inference Attacks With Background Information P Zhao, H Jiang, C Wang, H Huang, G Liu, Y Yang IEEE Internet of Things Journal 6 (1), 808-819, 2018 | 22 | 2018 |
| Safeguarding cross-silo federated learning with local differential privacy C Wang, X Wu, G Liu, T Deng, K Peng, S Wan Digital Communications and Networks 8 (4), 446-454, 2022 | 19 | 2022 |
| Keep your data locally: Federated-learning-based data privacy preservation in edge computing G Liu, C Wang, X Ma, Y Yang IEEE Network 35 (2), 60-66, 2021 | 18 | 2021 |
| FedEraser: Enabling efficient client-level data removal from federated learning models G Liu, X Ma, Y Yang, C Wang, J Liu 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021 | 15 | 2021 |
| Federated unlearning G Liu, X Ma, Y Yang, C Wang, J Liu arXiv preprint arXiv:2012.13891, 2020 | 8 | 2020 |
| Your model trains on my data? Protecting intellectual property of training data via membership fingerprint authentication G Liu, T Xu, X Ma, C Wang IEEE Transactions on Information Forensics and Security 17, 1024-1037, 2022 | 5 | 2022 |
| Federaser: Enabling efficient client-level data removal from federated learning models. In 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS) G Liu, X Ma, Y Yang, C Wang, J Liu IEEE, 2021 | 5 | 2021 |
| Understanding mobility via deep multi-scale learning R Zhang, P Xie, C Wang, G Liu, S Wan Procedia computer science 147, 487-494, 2019 | 3 | 2019 |
| Membership Inference Attacks Against Machine Learning Models via Prediction Sensitivity L Liu, Y Wang, G Liu, K Peng, C Wang IEEE Transactions on Dependable and Secure Computing, 2022 | 1 | 2022 |
| ML-Stealer: Stealing Prediction Functionality of Machine Learning Models with Mere Black-Box Access G Liu, S Wang, B Wan, Z Wang, C Wang 2021 IEEE 20th International Conference on Trust, Security and Privacy in …, 2021 | 1 | 2021 |
| Design and analysis of a fair, efficient and stable multi-server adaptive streaming protocol S Zhang, G Liu, J Xu, S Wan Computers and Electrical Engineering 95, 107371, 2021 | 1 | 2021 |
| GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data G Liu, R Zhang, Y Yang, C Wang, L Liu Distributed and Parallel Databases 39, 231-257, 2021 | 1 | 2021 |
| Boundary Unlearning M Chen, W Gao, G Liu, K Peng, C Wang arXiv preprint arXiv:2303.11570, 2023 | | 2023 |
