The Credit Risk Paradox: When More Data Creates More Blind Spots

There's also a customer cost. More data often means more friction: extra verification steps, repeated identity checks, longer ...
GitHub

Temporal Graph Neural Networks for Real-Time Financial Fraud Detection

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
The Hacker News

Long-Running Web Skimming Campaign Steals Credit Cards From Online Checkout Pages

Cybersecurity researchers have discovered a major web skimming campaign that has been active since January 2022, targeting several major payment networks like American Express, Diners Club, Discover, ...
IEEE

Credit Card Fraud Detection Using XAI Techniques

Abstract: The swift expansion of digital transactions has markedly heightened the danger of credit card fraud, propelled by advanced tactics such as synthetic identities, account takeovers, and social ...
Frontiers

Tackling fraud detection with an enhanced Kepler optimization and ghost opposition-based learning

Introduction: The growing prevalence of fraud and malware, fueled by increased online activity and digital transactions, has exposed the shortcomings of conventional detection systems, particularly in ...
WTAE-TV

Police continue search for suspect one month after credit card fraud incident in Washington County

STARTS NOW WITH BREAKING NEWS. THAT BREAKING NEWS IS FIRST THIS NOON. A WORKER FREED AFTER BECOMING PINNED BY A PIECE OF INDUSTRIAL EQUIPMENT IN PITTSBURGH, STRIP DISTRICT. THIS HAPPENED JUST A LITTLE ...
IEEE

Credit Card Fraud Detection using Deep Learning Techniques And Handling Unbalanced Class Distributions with AGSS

Abstract: The rapid surge in digital financial transactions has been accompanied by a parallel increase in credit card fraud, underscoring the need for highly accurate and scalable detection systems.