Mastercard's AI-powered fraud detection system uses risk-scoring and behavioral biometrics to help identify suspicious ...

Siddharth Gupta, an expert in artificial intelligence and fraud detection, explores the latest advancements in machine ... deep learning architectures—particularly CNNs—for fraud detection. These ...

Abstract: The adversarial example presents new security threats to trustworthy detection ... learning (RL) framework, dubbed GAME-RL, which simultaneously optimizes both the perturbing APIs and their ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI. Participants will explore EDA, train multiple models, evaluate their ...

We conducted a multi-phase study to develop a serum exosome non-coding RNA (ncRNA) feature for diagnosing GC through machine learning. The exosome ncRNA ... ncRNA feature for the non-invasive ...

A list of malicious IP addresses associated with botnets, cyberattacks, and the generation of artificial traffic on websites. Useful for network administrators and security companies to block threats ...