Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data

Mengran Zhu, Yulu Gong, Yafei Xiang +2

Anomaly detection is a critical challenge across various research domains, aiming to identify instances that deviate from normal data distributions. This paper explores the applica…