Di Wu

According to our database, Di Wu authored at least 25 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems.

Jiale Zhang, Yue Liu, Di Wu, Shuai Lou, Bing Chen, Shui Yu

Digit. Commun. Networks, August, 2023

Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things.

Nai Wang, Junjun Chen, Di Wu, Wencheng Yang, Yong Xiang, Atul Sajjanhar

J. Inf. Secur. Appl., June, 2023

2022

Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks.

Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Michael Blumenstein, Shui Yu

Concurr. Comput. Pract. Exp., 2022

A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning.

Di Wu, Nai Wang, Jiale Zhang, Yuan Zhang, Yong Xiang, Longxiang Gao

Proceedings of the International Joint Conference on Neural Networks, 2022

Campus Network Intrusion Detection based on Federated Learning.

Junjun Chen, Qiang Guo, Zhongnan Fu, Qun Shang, Hao Ma, Di Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Fooling intrusion detection systems using adversarially autoencoder.

Junjun Chen, Di Wu, Ying Zhao, Nabin Sharma, Michael Blumenstein, Shui Yu

Digit. Commun. Networks, 2021

Defending against Membership Inference Attacks in Federated learning via Adversarial Example.

Yuanyuan Xie, Bing Chen, Jiale Zhang, Di Wu

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2020

Network Anomaly Detection Using Federated Learning and Transfer Learning.

Ying Zhao, Junjun Chen, Qianling Guo, Jian Teng, Di Wu

Proceedings of the Security and Privacy in Digital Economy, 2020

Defending Poisoning Attacks in Federated Learning via Adversarial Training Method.

Jiale Zhang, Di Wu, Chengyong Liu, Bing Chen

Proceedings of the Frontiers in Cyber Security - Third International Conference, 2020

2019

Video-based similar gesture action recognition using deep learning and GAN-based approaches

Di Wu

PhD thesis, 2019

Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern.

Ying Zhao, Junjun Chen, Di Wu, Jian Teng, Nabin Sharma, Atul Sajjanhar, Michael Blumenstein

Inf., 2019

Poisoning Attack in Federated Learning using Generative Adversarial Nets.

Jiale Zhang, Junjun Chen, Di Wu, Bing Chen, Shui Yu

Proceedings of the 18th IEEE International Conference On Trust, 2019

Multi-Task Network Anomaly Detection using Federated Learning.

Ying Zhao, Junjun Chen, Di Wu, Jian Teng, Shui Yu

Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods.

Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein

Proceedings of the International Joint Conference on Neural Networks, 2019

Adversarial Action Data Augmentation for Similar Gesture Action Recognition.

Di Wu, Junjun Chen, Nabin Sharma, Shirui Pan, Guodong Long, Michael Blumenstein

Proceedings of the International Joint Conference on Neural Networks, 2019

PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network.

Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Jian Teng, Shui Yu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing.

Zhen Cheng, Jiale Zhang, Hongyan Qian, Mingrong Xiang, Di Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2018

Robust Feature-Based Automated Multi-View Human Action Recognition System.

Kuang-Pen Chou, Mukesh Prasad, Di Wu, Nabin Sharma, Dong-Lin Li, Yu-Feng Lin, Michael Blumenstein, Wen-Chieh Lin, Chin-Teng Lin

IEEE Access, 2018

An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition.

Di Wu, Nabin Sharma, Michael Blumenstein

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos.

Di Wu, Nabin Sharma, Michael Blumenstein

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017

Recent advances in video-based human action recognition using deep learning: A review.

Di Wu, Nabin Sharma, Michael Blumenstein

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Detecting stepping stones by abnormal causality probability.

Sheng Wen, Di Wu, Ping Li, Yang Xiang, Wanlei Zhou, Guiyi Wei

Secur. Commun. Networks, 2015

2014

On Addressing the Imbalance Problem: A Correlated KNN Approach for Network Traffic Classification.

Di Wu, Xiao Chen, Chao Chen, Jun Zhang, Yang Xiang, Wanlei Zhou

Proceedings of the Network and System Security - 8th International Conference, 2014

2013

Detecting Stepping Stones by Abnormal Causality Probability.

Sheng Wen, Ping Li, Di Wu, Yang Xiang, Wanlei Zhou

Proceedings of the Cyberspace Safety and Security - 5th International Symposium, 2013

2011

A Survey on Latest Botnet Attack and Defense.

Lei Zhang, Shui Yu, Di Wu, Paul A. Watters

Proceedings of the IEEE 10th International Conference on Trust, 2011