Credit Card Fraud

Credit card fraud detection aims to identify and prevent unauthorized transactions, minimizing financial losses and protecting consumers. Current research heavily utilizes machine learning, particularly deep learning architectures like graph neural networks and transformers, along with ensemble methods and techniques to address class imbalance inherent in fraud datasets. These advancements are crucial for improving the accuracy and efficiency of fraud detection systems, impacting both financial institutions and the broader security landscape. Furthermore, research is exploring explainable AI methods to increase transparency and trust in these critical systems.