| 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 | 152 | 2021 |
| Recent advances in consensus protocols for blockchain: a survey S Wan, M Li, G Liu, C Wang Wireless networks 26, 5579-5593, 2020 | 125 | 2020 |
| 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 | 120 | 2019 |
| 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 | 114 | 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 | 81 | 2020 |
| 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 | 79 | 2021 |
| Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary M Chen, W Gao, G Liu, K Peng, C Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 78 | 2023 |
| 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 | 64 | 2020 |
| 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 | 57 | 2022 |
| 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 20 (3), 2341-2347, 2022 | 45 | 2022 |
| Federated unlearning G Liu, X Ma, Y Yang, C Wang, J Liu arXiv preprint arXiv:2012.13891, 2020 | 39 | 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 | 39 | 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 | 35 | 2018 |
| 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 | 31 | 2019 |
| 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 | 21 | 2022 |
| TEAR: Exploring temporal evolution of adversarial robustness for membership inference attacks against federated learning G Liu, Z Tian, J Chen, C Wang, J Liu IEEE Transactions on Information Forensics and Security, 2023 | 14 | 2023 |
| Seeing is believing: Black-box membership inference attacks against retrieval augmented generation Y Li, G Liu, Y Yang, C Wang arXiv e-prints, arXiv: 2406.19234, 2024 | 8 | 2024 |
| Gradient-leaks: Enabling black-box membership inference attacks against machine learning models G Liu, T Xu, R Zhang, Z Wang, C Wang, L Liu IEEE Transactions on Information Forensics and Security, 2023 | 8 | 2023 |
| Knowledge Representation of Training Data with Adversarial Examples Supporting Decision Boundary Z Tian, Z Wang, AM Abdelmoniem, G Liu, C Wang IEEE Transactions on Information Forensics and Security, 2023 | 8 | 2023 |
| EgoMUIL: Enhancing Spatio-temporal User Identity Linkage in Location-Based Social Networks with Ego-Mo Hypergraph H Huang, F Ding, H Yin, G Liu, C Wang, DO Wu IEEE Transactions on Mobile Computing, 2023 | 4 | 2023 |
Chen Wang（王琛）Huazhong University of Science and TechnologyVerified email at hust.edu.cn