AI RESEARCH
A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
arXiv CS.AI
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ArXi:2603.13237v1 Announce Type: new High-frequency banking environments face a critical trade-off between low-latency fraud detection and the regulatory explainability demanded by GDPR. Traditional rule-based and discriminative models struggle with "zero-day" attacks due to extreme class imbalance and the lack of historical precedents. This paper proposes a Dual-Path Generative Framework that decouples real-time anomaly detection from offline adversarial