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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 76–100 of 547 papers

Title	Date	Tasks	Status
An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network	Jun 22, 2025	Fraud DetectionGenerative Adversarial Network	—Unverified
Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability	Jun 21, 2025	Fraud Detection	—Unverified
FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations	Jun 13, 2025	Fraud DetectionLanguage Modeling	—Unverified
Advanced fraud detection using machine learning models: enhancing financial transaction security	Jun 12, 2025	Feature EngineeringFraud Detection	—Unverified
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering	Jun 4, 2025	Computational EfficiencyFraud Detection	CodeCode Available
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies	Jun 3, 2025	Fraud Detection	—Unverified
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective	May 23, 2025	Anomaly DetectionContrastive Learning	—Unverified
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods	May 15, 2025	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	—Unverified
Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets	May 7, 2025	Anomaly DetectionBinary Classification	CodeCode Available
Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment	May 7, 2025	Anomaly DetectionFraud Detection	—Unverified
Addressing Noise and Stochasticity in Fraud Detection for Service Networks	May 2, 2025	Fraud Detection	—Unverified
Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection	Apr 30, 2025	Fraud DetectionQuantum Machine Learning	—Unverified
Dual-channel Heterophilic Message Passing for Graph Fraud Detection	Apr 19, 2025	Fraud DetectionInductive Bias	CodeCode Available
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs	Apr 16, 2025	Federated LearningFraud Detection	CodeCode Available
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention	Apr 11, 2025	Fraud DetectionGraph Attention	—Unverified
Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflow	Apr 3, 2025	Fraud Detection	—Unverified
Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous Patterns	Apr 1, 2025	Fraud DetectionMixture-of-Experts	—Unverified
A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection	Mar 27, 2025	Ensemble LearningFraud Detection	—Unverified
Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection	Mar 27, 2025	Fraud Detection	—Unverified
Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning	Mar 24, 2025	Contrastive LearningFraud Detection	—Unverified
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning	Mar 23, 2025	Fraud Detection	—Unverified
Financial Fraud Detection with Entropy Computing	Mar 14, 2025	Fraud Detection	CodeCode Available
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions	Mar 13, 2025	Fraud Detection	—Unverified
Zero-to-One IDV: A Conceptual Model for AI-Powered Identity Verification	Mar 11, 2025	Fraud Detection	—Unverified
Perseus: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes	Mar 3, 2025	Fraud Detection	—Unverified

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All datasets BAF – Base Yelp-Fraud Amazon-Fraud Elliptic Dataset Healthcare Provider Fraud Detection Analysis Kaggle-Credit Card Fraud Dataset BAF – Variant I BAF – Variant II BAF – Variant III BAF – Variant IV BAF – Variant V FDCompCN

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	LightGBM	Recall @ 5% FPR	54.3	—	Unverified
2	CatBoost	Recall @ 5% FPR	52.4	—	Unverified
3	LightGBM	Recall @ 5% FPR	51.76	—	Unverified
4	1D-CSNN	Recall @ 5% FPR	50.35	—	Unverified
5	MLP–NN	Recall @ 5% FPR	49.6	—	Unverified
6	1D-CSNN	Recall @ 5% FPR	42.79	—	Unverified
7	LightGBM	Recall @ 1% FPR	25.2	—	Unverified
8	FIGS	Recall @ 1% FPR	21	—	Unverified
9	CART+RIFF	Recall @ 1% FPR	18.4	—	Unverified
10	CART	Recall @ 1% FPR	16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LEX-GNN	AUC-ROC	96.4	—	Unverified
2	JA-GNN	AUC-ROC	95.11	—	Unverified
3	GTAN	AUC-ROC	94.98	—	Unverified
4	BOLT-GRAPH	AUC-ROC	93.18	—	Unverified
5	SplitGNN	AUC-ROC	92.03	—	Unverified
6	GAT+JK	AUC-ROC	90.04	—	Unverified
7	RLC-GNN	AUC-ROC	85.44	—	Unverified
8	RioGNN	AUC-ROC	83.54	—	Unverified
9	PC-GNN	AUC-ROC	79.87	—	Unverified
10	CARE-GNN	AUC-ROC	75.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LEX-GNN	AUC-ROC	97.91	—	Unverified
2	GTAN	AUC-ROC	97.5	—	Unverified
3	RLC-GNN	AUC-ROC	97.48	—	Unverified
4	RioGNN	AUC-ROC	96.19	—	Unverified
5	PC-GNN	AUC-ROC	95.86	—	Unverified
6	CARE-GNN	AUC-ROC	89.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GCN	AUC	0.83	—	Unverified
2	GraphSAGE	AUC	0.83	—	Unverified
3	GAT	AUC	0.81	—	Unverified
4	GIN	AUC	0.81	—	Unverified
5	Node2vec	AUC	0.53	—	Unverified
6	Deepwalk	AUC	0.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BiRank	AUC	0.79	—	Unverified
2	GraphSAGE	AUC	0.67	—	Unverified
3	metapath2vec	AUC	0.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XBNET	Accuracy	71.33	—	Unverified
2	DevNet	AUC	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	40.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	47.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	41.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	35.54	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	34.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SplitGNN	AUC-ROC	68.98	—	Unverified