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 326–350 of 547 papers

Title	Date	Tasks	Status
Uncovering Insurance Fraud Conspiracy with Network Learning	Feb 27, 2020	Fraud DetectionGraph Learning	—Unverified
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions	Jul 13, 2022	Decision MakingFairness	—Unverified
Unsupervised anomaly detection for discrete sequence healthcare data	Jul 20, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning	Mar 24, 2025	Contrastive LearningFraud Detection	—Unverified
Unsupervised Frequent Pattern Mining for CEP	Jul 28, 2022	Active LearningDescriptive	—Unverified
Unsupervised Machine Learning for Explainable Health Care Fraud Detection	Nov 5, 2022	Fraud Detection	—Unverified
Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection	Mar 27, 2025	Fraud Detection	—Unverified
Using Causality for Enhanced Prediction of Web Traffic Time Series	Feb 2, 2025	Anomaly DetectionFraud Detection	—Unverified
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model	Jul 31, 2023	Anomaly DetectionExplainable artificial intelligence	—Unverified
Using Machine Learning to Detect Fraudulent SMSs in Chichewa	Feb 24, 2025	Fraud DetectionMachine Translation	—Unverified
Using Person Embedding to Enrich Features and Data Augmentation for Classification	Jun 30, 2022	BIG-bench Machine LearningClassification	—Unverified
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data	Feb 15, 2024	Anomaly DetectionFace Verification	—Unverified
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)	Dec 14, 2021	Anomaly DetectionExplainable artificial intelligence	—Unverified
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection	Aug 1, 2024	Fraud DetectionRepresentation Learning	—Unverified
VertexSerum: Poisoning Graph Neural Networks for Link Inference	Aug 2, 2023	Fraud DetectionInference Attack	—Unverified
Weak error analysis for stochastic gradient descent optimization algorithms	Jul 3, 2020	Face RecognitionFraud Detection	—Unverified
Weakly Supervised Multi-task Learning for Concept-based Explainability	Apr 26, 2021	Decision MakingFraud Detection	—Unverified
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning	Oct 17, 2019	Fraud DetectionGeneral Classification	—Unverified
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review	Jan 31, 2025	Deep LearningFeature Engineering	—Unverified
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—Unverified
Gamma distribution-based sampling for imbalanced data	Sep 22, 2020	Fraud Detection	—Unverified
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks	Jun 6, 2018	Fraud DetectionMedical Diagnosis	—Unverified
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?	May 27, 2020	BenchmarkingFraud Detection	—Unverified
Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection	Dec 22, 2023	Anomaly DetectionFraud Detection	—Unverified
GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets	Oct 23, 2019	Fraud DetectionMedical Diagnosis	—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