awesome-fraud-detection-papers

Why we included this project

Building or tuning fraud detection systems? This curated list is a reading resource, not a codebase. It collects peer-reviewed papers from top data mining and AI conferences, including KDD, ICDM, WWW, AAAI, and VLDB, arranged by year so you can follow how the field moved from classical classifiers to graph-based and deep learning methods. The entries are grouped by conference and cover credit-card fraud, graph classification, link prediction, and related anomaly detection work, which makes it easy to locate the technique you need for a specific problem. Since it's a curated index, the value lies in the editorial selection and the direct links to the original papers, not in runnable software. Teams scoping a fraud-detection research effort or writing a literature review will save time by starting here instead of digging through conference proceedings one by one.