2025
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
AAAI 2025technical
Anti-fraud machine learning systems are perpetually confronted with the significant challenge of concept drift, driven by the continuous and intense evolution of fraudulent techniques. That is, outdated models trained on historical fraudulent behaviors often fall short in addressing the evolving tac…