C. Chiu

Rule anchored graph learning improves synthetic identity fraud detection through multi relation structure rather than score level fusion

Synthetic Identity Fraud (SIF), in which fraudsters combine real and fabricated information to create untraceable identities, is a fast-growing and costly problem in payment systems. Prior work treats graph neural networks as an assumed improvement over transparent rule-based identity-linkage scoring, but rarely tests...