fraud
Datasets
All datasets matching “fraud”Cifer-Fraud-Detection-Dataset-AF
📊 Cifer Fraud Detection Dataset
🧠 Overview
The Cifer-Fraud-Detection-Dataset-AF is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
This dataset draws structural inspiration from the PaySim simulator, which was built using aggregated mobile money transaction data from a real financial provider operating in 14+ countries.… See the full description on the dataset page: https://huggingface.co/datasets/CiferAI/Cifer-Fraud-Detection-Dataset-AF.FraudBenchieee-fraud-detectionieee-fraud-detection-pipeline-features
IEEE-CIS Fraud Detection — Model-Ready Feature Dataset
Dataset Summary
This dataset contains 590,540 financial transactions from the IEEE-CIS Fraud Detection competition, processed through a production-grade data pipeline into a clean, labeled, model-ready feature table.
The pipeline adds 16 engineered features on top of the original IEEE-CIS columns — including card-level velocity, email domain risk rates, and amount anomaly ratios — ready for direct use in fraud… See the full description on the dataset page: https://huggingface.co/datasets/Kshitijbhatt1998/ieee-fraud-detection-pipeline-features.fraudshield-10m
FraudShield AI: 10M Synthetic Fraud & Abuse Dataset
This dataset contains 10,000,000 synthetic signup events and 10,000,000 synthetic payment events modeled after enterprise fintech trust and anti-abuse systems.
Dataset Structure
signup/: Features for Graph Neural Network (GraphSAGE) signup trust scoring (train: 90%, test: 10%).
payment/: Features for multi-class LightGBM payment abuse classification (train: 90%, test: 10%).
Quickstart
from… See the full description on the dataset page: https://huggingface.co/datasets/vicky1428/fraudshield-10m.Creditcard-fraud-detection
Credit Card Fraud Detection
This dataset was downloaded from https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud/data adn uploaded for educational purposes.