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 | 185 | 2019 |
Recent advances in video-based human action recognition using deep learning: A review D Wu, N Sharma, M Blumenstein 2017 International joint conference on neural networks (IJCNN), 2865-2872, 2017 | 164 | 2017 |
Multi-task network anomaly detection using federated learning Y Zhao, J Chen, D Wu, J Teng, S Yu Proceedings of the 10th international symposium on information and …, 2019 | 153 | 2019 |
A survey on latest botnet attack and defense L Zhang, S Yu, D Wu, P Watters 2011IEEE 10th International Conference on Trust, Security and Privacy in …, 2011 | 114 | 2011 |
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 | 70 | 2020 |
Robust feature-based automated multi-view human action recognition system KP Chou, M Prasad, D Wu, N Sharma, DL Li, YF Lin, M Blumenstein, ... IEEE Access 6, 15283-15296, 2018 | 70 | 2018 |
From distributed machine learning to federated learning: In the view of data privacy and security S Shen, T Zhu, D Wu, W Wang, W Zhou Concurrency and Computation: Practice and Experience 34 (16), e6002, 2022 | 69 | 2022 |
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 | 38 | 2022 |
Fooling intrusion detection systems using adversarially autoencoder J Chen, D Wu, Y Zhao, N Sharma, M Blumenstein, S Yu Digital Communications and Networks 7 (3), 453-460, 2021 | 30 | 2021 |
Adversarial action data augmentation for similar gesture action recognition D Wu, J Chen, N Sharma, S Pan, G Long, M Blumenstein 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 18 | 2019 |
On addressing the imbalance problem: a correlated KNN approach for network traffic classification D Wu, X Chen, C Chen, J Zhang, Y Xiang, W Zhou Network and System Security: 8th International Conference, NSS 2014, Xi’an …, 2014 | 18 | 2014 |
Network anomaly detection using federated learning and transfer learning Y Zhao, J Chen, Q Guo, J Teng, D Wu International Conference on Security and Privacy in Digital Economy, 219-231, 2020 | 16 | 2020 |
Defending poisoning attacks in federated learning via adversarial training method J Zhang, D Wu, C Liu, B Chen Frontiers in Cyber Security: Third International Conference, FCS 2020 …, 2020 | 14 | 2020 |
VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems J Zhang, Y Liu, D Wu, S Lou, B Chen, S Yu Digital Communications and Networks 9 (4), 981-989, 2023 | 13 | 2023 |
Defending against membership inference attacks in federated learning via adversarial example Y Xie, B Chen, J Zhang, D Wu 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 8 | 2021 |
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning D Wu, N Wang, J Zhang, Y Zhang, Y Xiang, L Gao 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 5 | 2022 |
Feature-dependent graph convolutional autoencoders with adversarial training methods D Wu, R Hu, Y Zheng, J Jiang, N Sharma, M Blumenstein 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 4 | 2019 |
Campus network intrusion detection based on federated learning J Chen, Q Guo, Z Fu, Q Shang, H Ma, D Wu 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
Network anomaly detection by using a time-decay closed frequent pattern Y Zhao, J Chen, D Wu, J Teng, N Sharma, A Sajjanhar, M Blumenstein Information 10 (8), 262, 2019 | 3 | 2019 |
A privacy-preserving access control scheme with verifiable and outsourcing capabilities in fog-cloud computing Z Cheng, J Zhang, H Qian, M Xiang, D Wu Algorithms and Architectures for Parallel Processing: 19th International …, 2020 | 1 | 2020 |