TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors

no code implementations • 26 Nov 2021 • Jinyin Chen, Haiyang Xiong, Dunjie Zhang, Zhenguang Liu, Jiajing Wu

Phishing detectors direct their efforts in hunting phishing addresses.

Blockchain Phishing Scam Detection via Multi-channel Graph Classification

no code implementations • 19 Aug 2021 • Dunjie Zhang, Jinyin Chen

The transaction pattern graphs and MCGC are more able to detect potential phishing scammers by extracting the transaction pattern features of the target users.

Graph Classification Graph Embedding +1

EGC2: Enhanced Graph Classification with Easy Graph Compression

1 code implementation • 16 Jul 2021 • Jinyin Chen, Haiyang Xiong, Haibin Zhenga, Dunjie Zhang, Jian Zhang, Mingwei Jia, Yi Liu

To achieve lower-complexity defense applied to graph classification models, EGC2 utilizes a centrality-based edge-importance index to compress the graphs, filtering out trivial structures and adversarial perturbations in the input graphs, thus improving the model's robustness.

Graph Classification

Graphfool: Targeted Label Adversarial Attack on Graph Embedding

no code implementations • 24 Feb 2021 • Jinyin Chen, Xiang Lin, Dunjie Zhang, Wenrong Jiang, Guohan Huang, Hui Xiong, Yun Xiang

To the best of our knowledge, this is the first targeted label attack technique.

Adversarial Attack Community Detection +5

GraphAttacker: A General Multi-Task GraphAttack Framework

1 code implementation • 18 Jan 2021 • Jinyin Chen, Dunjie Zhang, Zhaoyan Ming, Kejie Huang, Wenrong Jiang, Chen Cui

To address this problem, we propose GraphAttacker, a novel generic graph attack framework that can flexibly adjust the structures and the attack strategies according to the graph analysis tasks.

General Classification Generative Adversarial Network +3