2 papers
cs.LG2025
Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions
Tengda Tang, Jianhua Yao, Yixian Wang +3
This study proposes an algorithm for detecting suspicious behaviors in large payment flows based on deep generative models. By combining Generative Adversarial Networks (GAN) and V…
cs.LG2024
Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems
Qian Yu, Zhen Xu, Zong Ke
In the context of globalization and the rapid expansion of the digital economy, anti-money laundering (AML) has become a crucial aspect of financial oversight, particularly in cros…