SOTAVerified

Fraud Detection

Fraud Detection is a vital topic that applies to many industries including the financial sectors, banking, government agencies, insurance, and law enforcement, and more. Fraud endeavors have detected a radical rise in current years, creating this topic more critical than ever. Despite struggles on the part of the troubled organizations, hundreds of millions of dollars are wasted to fraud each year. Because nearly a few samples confirm fraud in a vast community, locating these can be complex. Data mining and statistics help to predict and immediately distinguish fraud and take immediate action to minimize costs.

Source: Applying support vector data description for fraud detection

Papers

Showing 101125 of 547 papers

TitleStatusHype
Blockchain Data Analysis in the Era of Large-Language Models0
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector0
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection0
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification0
Building High-Quality Auction Fraud Dataset0
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism0
Causality from Bottom to Top: A Survey0
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection0
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com0
Behavioral graph fraud detection in E-commerce0
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection0
CoDetect: Financial Fraud Detection With Anomaly Feature Detection0
Coherent Feed Forward Quantum Neural Network0
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments0
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection0
Application of Deep Reinforcement Learning to Payment Fraud0
Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization0
Confronting Discrimination in Classification: Smote Based on Marginalized Minorities in the Kernel Space for Imbalanced Data0
An Information-Theoretic Approach to Personalized Explainable Machine Learning0
Applying Quantum Autoencoders for Time Series Anomaly Detection0
Advanced Real-Time Fraud Detection Using RAG-Based LLMs0
A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection0
Applying support vector data description for fraud detection0
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LightGBMRecall @ 5% FPR54.3Unverified
2CatBoostRecall @ 5% FPR52.4Unverified
3LightGBMRecall @ 5% FPR51.76Unverified
41D-CSNNRecall @ 5% FPR50.35Unverified
5MLP–NNRecall @ 5% FPR49.6Unverified
61D-CSNNRecall @ 5% FPR42.79Unverified
7LightGBMRecall @ 1% FPR25.2Unverified
8FIGSRecall @ 1% FPR21Unverified
9CART+RIFFRecall @ 1% FPR18.4Unverified
10CARTRecall @ 1% FPR16Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC96.4Unverified
2JA-GNNAUC-ROC95.11Unverified
3GTANAUC-ROC94.98Unverified
4BOLT-GRAPHAUC-ROC93.18Unverified
5SplitGNNAUC-ROC92.03Unverified
6GAT+JKAUC-ROC90.04Unverified
7RLC-GNNAUC-ROC85.44Unverified
8RioGNNAUC-ROC83.54Unverified
9PC-GNNAUC-ROC79.87Unverified
10CARE-GNNAUC-ROC75.7Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC97.91Unverified
2GTANAUC-ROC97.5Unverified
3RLC-GNNAUC-ROC97.48Unverified
4RioGNNAUC-ROC96.19Unverified
5PC-GNNAUC-ROC95.86Unverified
6CARE-GNNAUC-ROC89.73Unverified
#ModelMetricClaimedVerifiedStatus
1GCNAUC0.83Unverified
2GraphSAGEAUC0.83Unverified
3GATAUC0.81Unverified
4GINAUC0.81Unverified
5Node2vecAUC0.53Unverified
6DeepwalkAUC0.45Unverified
#ModelMetricClaimedVerifiedStatus
1BiRankAUC0.79Unverified
2GraphSAGEAUC0.67Unverified
3metapath2vecAUC0.51Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy71.33Unverified
2DevNetAUC0.98Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR40.71Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR47.08Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR41.83Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR35.54Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR34.96Unverified
#ModelMetricClaimedVerifiedStatus
1SplitGNNAUC-ROC68.98Unverified