Leveraging Adversarial Augmentation on Imbalance Data for Online Trading Fraud Detection

Author:

Teng Hu1ORCID,Wang Cheng1ORCID,Yang Qing1ORCID,Chen Xue1ORCID,Li Rui2ORCID

Affiliation:

1. Department of Computer Science and Technology, the Key Laboratory of the Ministry of Education for Embedded System and Service Computing, and the Shanghai Electronic Transactions and Information Service Collaborative Innovation Center, Tongji University, Shanghai, China

2. School of Computer Science and Technology, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Special Security Foundation of Shanghai Municipal Commission of Economy and Information Technology

Fundamental Research Funds for the Central Universities

Major Project of Ministry of Industry and Information Technology of China

Open Fund of Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education

Program of Shanghai Academic Research Leader

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

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