| Data security and privacy-preserving in edge computing paradigm: Survey and open issues J Zhang, B Chen, Y Zhao, X Cheng, F Hu IEEE access 6, 18209-18237, 2018 | 465 | 2018 |
| Poisoning attack in federated learning using generative adversarial nets J Zhang, J Chen, D Wu, B Chen, S Yu 2019 18th IEEE international conference on trust, security and privacy in …, 2019 | 192 | 2019 |
| PoisonGAN: Generative poisoning attacks against federated learning in edge computing systems J Zhang, B Chen, X Cheng, HTT Binh, S Yu IEEE Internet of Things Journal 8 (5), 3310-3322, 2020 | 182 | 2020 |
| Gan enhanced membership inference: A passive local attack in federated learning J Zhang, J Zhang, J Chen, S Yu ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 107 | 2020 |
| PEFL: A privacy-enhanced federated learning scheme for big data analytics J Zhang, B Chen, S Yu, H Deng 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 80 | 2019 |
| PDGAN: A novel poisoning defense method in federated learning using generative adversarial network Y Zhao, J Chen, J Zhang, D Wu, J Teng, S Yu Algorithms and Architectures for Parallel Processing: 19th International …, 2020 | 74 | 2020 |
| LVPDA: A lightweight and verifiable privacy-preserving data aggregation scheme for edge-enabled IoT J Zhang, Y Zhao, J Wu, B Chen IEEE Internet of Things Journal 7 (5), 4016-4027, 2020 | 69 | 2020 |
| Survey on data security and privacy-preserving for the research of edge computing J Zhang, Y Zhao, B Chen, F Hu, K Zhu Journal on Communications 39 (3), 1-21, 2018 | 69 | 2018 |
| Beyond model-level membership privacy leakage: an adversarial approach in federated learning J Chen, J Zhang, Y Zhao, H Han, K Zhu, B Chen 2020 29th International Conference on Computer Communications and Networks …, 2020 | 51 | 2020 |
| FedMEC: improving efficiency of differentially private federated learning via mobile edge computing J Zhang, Y Zhao, J Wang, B Chen Mobile Networks and Applications 25, 2421-2433, 2020 | 48 | 2020 |
| Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks Y Zhao, J Chen, J Zhang, D Wu, M Blumenstein, S Yu Concurrency and Computation: Practice and Experience 34 (7), e5906, 2022 | 45 | 2022 |
| 边缘计算数据安全与隐私保护研究综述 张佳乐， 赵彦超， 陈兵， 胡峰， 朱琨 Journal on Communication/Tongxin Xuebao 39 (3), 2018 | 38 | 2018 |
| LPDA-EC: A lightweight privacy-preserving data aggregation scheme for edge computing J Zhang, Y Zhao, J Wu, B Chen 2018 IEEE 15th international conference on mobile ad hoc and sensor systems …, 2018 | 37 | 2018 |
| An efficient federated learning scheme with differential privacy in mobile edge computing J Zhang, J Wang, Y Zhao, B Chen Machine Learning and Intelligent Communications: 4th International …, 2019 | 36 | 2019 |
| Dynamic sample selection for federated learning with heterogeneous data in fog computing L Cai, D Lin, J Zhang, S Yu ICC 2020-2020 IEEE International conference on communications (ICC), 1-6, 2020 | 35 | 2020 |
| Time efficient federated learning with semi-asynchronous communication J Hao, Y Zhao, J Zhang 2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020 | 30 | 2020 |
| Combine sliced joint graph with graph neural networks for smart contract vulnerability detection J Cai, B Li, J Zhang, X Sun, B Chen Journal of Systems and Software 195, 111550, 2023 | 27 | 2023 |
| RobustFL: Robust federated learning against poisoning attacks in industrial IoT systems J Zhang, C Ge, F Hu, B Chen IEEE Transactions on Industrial Informatics 18 (9), 6388-6397, 2021 | 27 | 2021 |
| OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems J Zhang, Z Cheng, X Cheng, B Chen Connection Science 33 (4), 1060-1076, 2021 | 26 | 2021 |
| ASSBert: Active and semi-supervised bert for smart contract vulnerability detection X Sun, L Tu, J Zhang, J Cai, B Li, Y Wang Journal of Information Security and Applications 73, 103423, 2023 | 20 | 2023 |
bing chenNanjing university of areonautics and astronautics在 nuaa.edu.cn 的电子邮件经过验证
