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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 547 papers

TitleStatusHype
Blockchain Data Analysis in the Era of Large-Language Models—0
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model—0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection—0
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism—0
Building High-Quality Auction Fraud Dataset—0
Behavioral graph fraud detection in E-commerce—0
Causality from Bottom to Top: A Survey—0
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection—0
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com—0
Change Detection in Noisy Dynamic Networks: A Spectral Embedding Approach—0
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection—0
CoDetect: Financial Fraud Detection With Anomaly Feature Detection—0
Coherent Feed Forward Quantum Neural Network—0
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments—0
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection—0
Application of Deep Reinforcement Learning to Payment Fraud—0
Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization—0
Confronting Discrimination in Classification: Smote Based on Marginalized Minorities in the Kernel Space for Imbalanced Data—0
An Information-Theoretic Approach to Personalized Explainable Machine Learning—0
Applying Quantum Autoencoders for Time Series Anomaly Detection—0
Advanced Real-Time Fraud Detection Using RAG-Based LLMs—0
A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection—0
Applying support vector data description for fraud detection—0
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation—0
Cost-sensitive Semi-supervised Classification for Fraud Applications—0
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection—0
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention—0
Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous Patterns—0
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications—0
Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system—0
BadVFL: Backdoor Attacks in Vertical Federated Learning—0
A new perspective on classification: optimally allocating limited resources to uncertain tasks—0
Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain—0
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models—0
Adaptive Stress Testing for Adversarial Learning in a Financial Environment—0
A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection—0
BAAAN: Backdoor Attacks Against Auto-encoder and GAN-Based Machine Learning Models—0
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning—0
An Efficient Outlier Detection Algorithm for Data Streaming—0
Automatic Procurement Fraud Detection with Machine Learning—0
Automatic Model Monitoring for Data Streams—0
An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network—0
Adapted tree boosting for Transfer Learning—0
A Combination of Deep Neural Networks and K-Nearest Neighbors for Credit Card Fraud Detection—0
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach—0
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry—0
Analysis of Communication Pattern with Scammers in Enron Corpus—0
Auditing: Active Learning with Outcome-Dependent Query Costs—0
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data—0
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All datasetsBAF – BaseYelp-FraudAmazon-FraudElliptic DatasetHealthcare Provider Fraud Detection AnalysisKaggle-Credit Card Fraud DatasetBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VFDCompCN

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LightGBMRecall @ 5% FPR54.3—Unverified
2CatBoostRecall @ 5% FPR52.4—Unverified
3LightGBMRecall @ 5% FPR51.76—Unverified
41D-CSNNRecall @ 5% FPR50.35—Unverified
5MLP–NNRecall @ 5% FPR49.6—Unverified
61D-CSNNRecall @ 5% FPR42.79—Unverified
7LightGBMRecall @ 1% FPR25.2—Unverified
8FIGSRecall @ 1% FPR21—Unverified
9CART+RIFFRecall @ 1% FPR18.4—Unverified
10CARTRecall @ 1% FPR16—Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC96.4—Unverified
2JA-GNNAUC-ROC95.11—Unverified
3GTANAUC-ROC94.98—Unverified
4BOLT-GRAPHAUC-ROC93.18—Unverified
5SplitGNNAUC-ROC92.03—Unverified
6GAT+JKAUC-ROC90.04—Unverified
7RLC-GNNAUC-ROC85.44—Unverified
8RioGNNAUC-ROC83.54—Unverified
9PC-GNNAUC-ROC79.87—Unverified
10CARE-GNNAUC-ROC75.7—Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC97.91—Unverified
2GTANAUC-ROC97.5—Unverified
3RLC-GNNAUC-ROC97.48—Unverified
4RioGNNAUC-ROC96.19—Unverified
5PC-GNNAUC-ROC95.86—Unverified
6CARE-GNNAUC-ROC89.73—Unverified
#ModelMetricClaimedVerifiedStatus
1GCNAUC0.83—Unverified
2GraphSAGEAUC0.83—Unverified
3GATAUC0.81—Unverified
4GINAUC0.81—Unverified
5Node2vecAUC0.53—Unverified
6DeepwalkAUC0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1BiRankAUC0.79—Unverified
2GraphSAGEAUC0.67—Unverified
3metapath2vecAUC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy71.33—Unverified
2DevNetAUC0.98—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR40.71—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR47.08—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR41.83—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR35.54—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR34.96—Unverified
#ModelMetricClaimedVerifiedStatus
1SplitGNNAUC-ROC68.98—Unverified