Hybrid Data can Enhance the Utility of Synthetic Data for Training Anti-Money Laundering Models

Rachel Chung, Pratyush Nidhi Sharma, Mikko Siponen +2

Money laundering is a critical global issue for financial institutions. Automated Anti-money laundering (AML) models, like Graph Neural Networks (GNN), can be trained to identify i…