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 26–50 of 547 papers

Title	Date	Tasks	Status	Hype
Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection	Mar 27, 2025	Fraud Detection	—Unverified	0
Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning	Mar 24, 2025	Contrastive LearningFraud Detection	—Unverified	0
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning	Mar 23, 2025	Fraud Detection	—Unverified	0
Financial Fraud Detection with Entropy Computing	Mar 14, 2025	Fraud Detection	CodeCode Available	0
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions	Mar 13, 2025	Fraud Detection	—Unverified	0
Zero-to-One IDV: A Conceptual Model for AI-Powered Identity Verification	Mar 11, 2025	Fraud Detection	—Unverified	0
Perseus: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes	Mar 3, 2025	Fraud Detection	—Unverified	0
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph	Feb 26, 2025	Fraud DetectionKnowledge Graph Embeddings	CodeCode Available	0
Structural Alignment Improves Graph Test-Time Adaptation	Feb 25, 2025	Fraud DetectionTest-time Adaptation	—Unverified	0
Using Machine Learning to Detect Fraudulent SMSs in Chichewa	Feb 24, 2025	Fraud DetectionMachine Translation	—Unverified	0
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact	Feb 21, 2025	DiagnosticDimensionality Reduction	—Unverified	0
Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations	Feb 21, 2025	ArticlesFraud Detection	CodeCode Available	0
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)	Feb 20, 2025	Computational EfficiencyEnsemble Learning	—Unverified	0
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements	Feb 18, 2025	Decision MakingFraud Detection	CodeCode Available	1
A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection	Feb 18, 2025	Fraud Detection	CodeCode Available	1
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews	Feb 8, 2025	Decision MakingFeature Engineering	—Unverified	0
FRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection	Feb 4, 2025	Adversarial AttackFraud Detection	—Unverified	0
Explainability in Practice: A Survey of Explainable NLP Across Various Domains	Feb 2, 2025	Fraud Detection	—Unverified	0
Using Causality for Enhanced Prediction of Web Traffic Time Series	Feb 2, 2025	Anomaly DetectionFraud Detection	—Unverified	0
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review	Jan 31, 2025	Deep LearningFeature Engineering	—Unverified	0
Free Agent in Agent-Based Mixture-of-Experts Generative AI Framework	Jan 29, 2025	Fraud DetectionMixture-of-Experts	—Unverified	0
Advanced Real-Time Fraud Detection Using RAG-Based LLMs	Jan 25, 2025	Fraud DetectionRAG	—Unverified	0
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection	Jan 21, 2025	Contrastive LearningFraud Detection	—Unverified	0
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks	Jan 21, 2025	Fraud DetectionGraph Representation Learning	—Unverified	0
A Survey on Diffusion Models for Anomaly Detection	Jan 20, 2025	Anomaly DetectionComputational Efficiency	CodeCode Available	2

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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