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 126–150 of 547 papers

Title	Date	Tasks	Status	Hype
Higher-order Structure Based Anomaly Detection on Attributed Networks	Jun 7, 2024	Anomaly DetectionAttribute	—Unverified	0
Credit Card Fraud Detection Using Advanced Transformer Model	Jun 6, 2024	Fraud Detectionmodel	—Unverified	0
Robust Prediction Model for Multidimensional and Unbalanced Datasets	Jun 5, 2024	Decision MakingFraud Detection	—Unverified	0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement	Jun 3, 2024	Anomaly DetectionDecision Making	CodeCode Available	0
Diffusion Boosted Trees	Jun 3, 2024	DenoisingFraud Detection	—Unverified	0
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation	May 29, 2024	Feature EngineeringFraud Detection	CodeCode Available	1
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com	May 22, 2024	Fraud DetectionSelection bias	—Unverified	0
OTLP: Output Thresholding Using Mixed Integer Linear Programming	May 18, 2024	Fraud Detectionimbalanced classification	—Unverified	0
Safety in Graph Machine Learning: Threats and Safeguards	May 17, 2024	Fraud Detection	—Unverified	0
Network analytics for insurance fraud detection: a critical case study	May 14, 2024	Fraud Detection	CodeCode Available	0
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation	Apr 23, 2024	Action DetectionActivity Detection	—Unverified	0
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report)	Apr 22, 2024	Fraud Detection	CodeCode Available	0
A Systems Theoretic Approach to Online Machine Learning	Apr 4, 2024	Fraud Detection	—Unverified	0
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection	Apr 3, 2024	Federated LearningFraud Detection	—Unverified	0
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks	Mar 27, 2024	Anomaly DetectionFraud Detection	—Unverified	0
Causality from Bottom to Top: A Survey	Mar 17, 2024	Anomaly DetectionFraud Detection	—Unverified	0
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints	Mar 11, 2024	Fraud Detection	CodeCode Available	0
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges	Mar 7, 2024	Fraud Detection	—Unverified	0
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach	Feb 27, 2024	Fraud Detection	—Unverified	0
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection	Feb 27, 2024	Fraud DetectionRelation	CodeCode Available	0
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry	Feb 22, 2024	Federated LearningFraud Detection	—Unverified	0
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks	Feb 22, 2024	Fraud DetectionGraph Neural Network	—Unverified	0
Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search	Feb 22, 2024	Fraud Detection	—Unverified	0
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data	Feb 15, 2024	Anomaly DetectionFace Verification	—Unverified	0
On the Potential of Network-Based Features for Fraud Detection	Feb 14, 2024	Feature ImportanceFraud Detection	—Unverified	0

Show:10 25 50

← PrevPage 6 of 22Next →

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