132 citations · 683 across the 107 of their papers we have counts for
9 papers · 1 filter
Time-aware Gradient Attack on Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Zhi Chen +2
In network link prediction, it is possible to hide a target link from being predicted with a small perturbation on network structure. This observation may be exploited in many real…
RobustECD: Enhancement of Network Structure for Robust Community Detection
Jiajun Zhou, Zhi Chen, Min Du +4
Community detection, which focuses on clustering vertex interactions, plays a significant role in network analysis. However, it also faces numerous challenges like missing data and…
Multiscale Evolutionary Perturbation Attack on Community Detection
Jinyin Chen, Yixian Chen, Lihong Chen +2
Community detection, aiming to group nodes based on their connections, plays an important role in network analysis, since communities, treated as meta-nodes, allow us to create a l…
Open DNN Box by Power Side-Channel Attack
Yun Xiang, Zhuangzhi Chen, Zuohui Chen +7
Deep neural networks are becoming popular and important assets of many AI companies. However, recent studies indicate that they are also vulnerable to adversarial attacks. Adversar…
MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks
Qi Xuan, Fuxian Li, Yi Liu +1
As the development of deep neural networks, 3D object recognition is becoming increasingly popular in computer vision community. Many multi-view based methods are proposed to impro…
Unsupervised Euclidean Distance Attack on Network Embedding
Shanqing Yu, Jun Zheng, Jinhuan Wang +6
Considering the wide application of network embedding methods in graph data mining, inspired by the adversarial attack in deep learning, this paper proposes a Genetic Algorithm (GA…
N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network
Jinyin Chen, Yangyang Wu, Lu Fan +4
Recommender systems are becoming more and more important in our daily lives. However, traditional recommendation methods are challenged by data sparsity and efficiency, as the numb…
Can Adversarial Network Attack be Defended?
Jinyin Chen, Yangyang Wu, Xiang Lin +1
Machine learning has been successfully applied to complex network analysis in various areas, and graph neural networks (GNNs) based methods outperform others. Recently, adversarial…
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science. However, most studies just focused on link pre…