This repository aggregates academic papers on fraud detection from major venues including KDD, AAAI, IJCAI, ICDM, and ACL. It covers supervised and unsupervised methods including deep learning, gradient boosting, graph classification, and random forests applied to credit card fraud, churn prediction, and credit scoring. The list serves as a reference resource for researchers and practitioners in the fraud detection domain.