Learning Fraud-Sensitive Transactional Representations via Attention and Temporal Modeling

Yu Xie (), Yue Tian, Jiamin Yao () and Guanjun Liu ()
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Yu Xie: Shanghai Maritime University, College of Information Engineering
Yue Tian: Shanghai Normal University, Department of Computer Science and Technology
Jiamin Yao: Shanghai Maritime University, College of Information Engineering
Guanjun Liu: Tongji University, Department of Computer Science

Chapter 5 in Neural Network-Based Deep Learning for Online Payment Fraud Detection, 2026, pp 77-95 from Springer

Abstract: Abstract In OPFD, sampling methods can, to some extent, enhance the feature representation of fraudulent samples, but synthetic samples often fail to fully capture the dynamically evolving temporal patterns present in real-world transaction scenarios [19].

Date: 2026
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DOI: 10.1007/978-981-95-8513-7_5

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