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
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase	Nov 5, 2024	Entity EmbeddingsEntity Linking	—Unverified
Graph Neural Networks for Financial Fraud Detection: A Review	Nov 1, 2024	Fraud Detection	—Unverified
A Machine Learning Driven Website Platform and Browser Extension for Real-time Scoring and Fraud Detection for Website Legitimacy Verification and Consumer Protection	Nov 1, 2024	Fraud DetectionNavigate	—Unverified
Integrating Fuzzy Logic into Deep Symbolic Regression	Nov 1, 2024	Fraud Detectionregression	—Unverified
Differentiable Inductive Logic Programming for Fraud Detection	Oct 29, 2024	Fraud DetectionInductive logic programming	—Unverified
A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions	Oct 28, 2024	Anomaly DetectionFairness	—Unverified
Proactive Fraud Defense: Machine Learning's Evolving Role in Protecting Against Online Fraud	Oct 26, 2024	Fraud Detection	—Unverified
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection	Oct 22, 2024	AttributeFairness	—Unverified
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection	Oct 21, 2024	Fraud DetectionGraph Neural Network	CodeCode Available
Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML)	Oct 21, 2024	Fraud DetectionManagement	—Unverified
ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM	Oct 14, 2024	Fraud DetectionManagement	—Unverified
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding	Oct 11, 2024	Anomaly DetectionFederated Learning	—Unverified
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data	Oct 10, 2024	Anomaly DetectionFraud Detection	—Unverified
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection	Oct 10, 2024	Fraud Detection	—Unverified
Data Distribution Valuation	Oct 6, 2024	Data ValuationFraud Detection	CodeCode Available
Applying Quantum Autoencoders for Time Series Anomaly Detection	Oct 5, 2024	Anomaly DetectionFraud Detection	—Unverified
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism	Oct 1, 2024	Fraud DetectionGraph Neural Network	—Unverified
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks	Oct 1, 2024	Fraud Detection	—Unverified
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis	Oct 1, 2024	Fraud DetectionLanguage Modeling	—Unverified
Review of Digital Asset Development with Graph Neural Network Unlearning	Sep 27, 2024	Fraud DetectionGraph Neural Network	—Unverified
Application of AI-based Models for Online Fraud Detection and Analysis	Sep 25, 2024	Fraud DetectionSystematic Literature Review	—Unverified
Credit Card Fraud Detection: A Deep Learning Approach	Sep 20, 2024	Deep LearningFraud Detection	—Unverified
Fair Anomaly Detection For Imbalanced Groups	Sep 17, 2024	Anomaly DetectionContrastive Learning	—Unverified
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection	Sep 16, 2024	Computational EfficiencyFraud Detection	CodeCode Available
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks	Sep 15, 2024	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