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Di Wu
ORCID
Publication Activity (10 Years)
Years Active: 2011-2024
Publications (10 Years): 18
Top Topics
Anomaly Detection
Top Venues
IJCNN
ICA3PP (1)
Digit. Commun. Networks
Inf.
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Publications
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Di Wu
,
Jun Bai
,
Yiliao Song
,
Junjun Chen
,
Wei Zhou
,
Yong Xiang
,
Atul Sajjanhar
FedInverse: Evaluating Privacy Leakage in Federated Learning.
ICLR
(2024)
Nai Wang
,
Junjun Chen
,
Di Wu
,
Wencheng Yang
,
Yong Xiang
,
Atul Sajjanhar
Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things.
J. Inf. Secur. Appl.
75 (2023)
Jiale Zhang
,
Yue Liu
,
Di Wu
,
Shuai Lou
,
Bing Chen
,
Shui Yu
VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems.
Digit. Commun. Networks
9 (4) (2023)
Zihao Zhou
,
Le Zhang
,
Rui Zha
,
Qiming Hao
,
Tong Xu
,
Di Wu
,
Enhong Chen
Multi-Relational Graph Convolution Network for Stock Movement Prediction.
IJCNN
(2022)
Ying Zhao
,
Junjun Chen
,
Jiale Zhang
,
Di Wu
,
Michael Blumenstein
,
Shui Yu
Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks.
Concurr. Comput. Pract. Exp.
34 (7) (2022)
Junjun Chen
,
Qiang Guo
,
Zhongnan Fu
,
Qun Shang
,
Hao Ma
,
Di Wu
Campus Network Intrusion Detection based on Federated Learning.
IJCNN
(2022)
Junjun Chen
,
Di Wu
,
Ying Zhao
,
Nabin Sharma
,
Michael Blumenstein
,
Shui Yu
Fooling intrusion detection systems using adversarially autoencoder.
Digit. Commun. Networks
7 (3) (2021)
Jiale Zhang
,
Junjun Chen
,
Di Wu
,
Bing Chen
,
Shui Yu
Poisoning Attack in Federated Learning using Generative Adversarial Nets.
TrustCom/BigDataSE
(2019)
Di Wu
,
Ruiqi Hu
,
Yu Zheng
,
Jing Jiang
,
Nabin Sharma
,
Michael Blumenstein
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods.
IJCNN
(2019)
Di Wu
,
Junjun Chen
,
Nabin Sharma
,
Shirui Pan
,
Guodong Long
,
Michael Blumenstein
Adversarial Action Data Augmentation for Similar Gesture Action Recognition.
IJCNN
(2019)
Ying Zhao
,
Junjun Chen
,
Di Wu
,
Jian Teng
,
Nabin Sharma
,
Atul Sajjanhar
,
Michael Blumenstein
Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern.
Inf.
10 (8) (2019)
Zhen Cheng
,
Jiale Zhang
,
Hongyan Qian
,
Mingrong Xiang
,
Di Wu
A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing.
ICA3PP (1)
(2019)
Ying Zhao
,
Junjun Chen
,
Di Wu
,
Jian Teng
,
Shui Yu
Multi-Task Network Anomaly Detection using Federated Learning.
SoICT
(2019)
Ying Zhao
,
Junjun Chen
,
Jiale Zhang
,
Di Wu
,
Jian Teng
,
Shui Yu
PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network.
ICA3PP (1)
(2019)
Kuang-Pen Chou
,
Mukesh Prasad
,
Di Wu
,
Nabin Sharma
,
Dong-Lin Li
,
Yu-Feng Lin
,
Michael Blumenstein
,
Wen-Chieh Lin
,
Chin-Teng Lin
Robust Feature-Based Automated Multi-View Human Action Recognition System.
IEEE Access
6 (2018)
Di Wu
,
Nabin Sharma
,
Michael Blumenstein
Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos.
DICTA
(2018)
Di Wu
,
Nabin Sharma
,
Michael Blumenstein
An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition.
IVCNZ
(2018)
Di Wu
,
Nabin Sharma
,
Michael Blumenstein
Recent advances in video-based human action recognition using deep learning: A review.
IJCNN
(2017)
Sheng Wen
,
Di Wu
,
Ping Li
,
Yang Xiang
,
Wanlei Zhou
,
Guiyi Wei
Detecting stepping stones by abnormal causality probability.
Secur. Commun. Networks
8 (10) (2015)
Di Wu
,
Xiao Chen
,
Chao Chen
,
Jun Zhang
,
Yang Xiang
,
Wanlei Zhou
On Addressing the Imbalance Problem: A Correlated KNN Approach for Network Traffic Classification.
NSS
(2014)
Sheng Wen
,
Ping Li
,
Di Wu
,
Yang Xiang
,
Wanlei Zhou
Detecting Stepping Stones by Abnormal Causality Probability.
CSS
(2013)
Lei Zhang
,
Shui Yu
,
Di Wu
,
Paul A. Watters
A Survey on Latest Botnet Attack and Defense.
TrustCom
(2011)