78 citations · 142 across the 18 of their papers we have counts for
5 papers · 1 filter
Blockchain Phishing Scam Detection via Multi-channel Graph Classification
Dunjie Zhang, Jinyin Chen
With the popularity of blockchain technology, the financial security issues of blockchain transaction networks have become increasingly serious. Phishing scam detection methods wil…
Graphfool: Targeted Label Adversarial Attack on Graph Embedding
Jinyin Chen, Xiang Lin, Dunjie Zhang +4
Deep learning is effective in graph analysis. It is widely applied in many related areas, such as link prediction, node classification, community detection, and graph classificatio…
GraphAttacker: A General Multi-Task GraphAttack Framework
Jinyin Chen, Dunjie Zhang, Zhaoyan Ming +3
Graph neural networks (GNNs) have been successfully exploited in graph analysis tasks in many real-world applications. The competition between attack and defense methods also enhan…
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
Jinyin Chen, Zhen Wang, Haibin Zheng +2
With the successful application of deep learning models in many real-world tasks, the model robustness becomes more and more critical. Often, we evaluate the robustness of the deep…
Visualizing Deep Learning-based Radio Modulation Classifier
Liang Huang, You Zhang, Weijian Pan +3
Deep learning has recently been successfully applied in automatic modulation classification by extracting and classifying radio features in an end-to-end way. However, deep learnin…