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 176–200 of 547 papers

Title	Date	Tasks	Status
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection	Dec 15, 2022	Fraud DetectionOne-Class Classification	—Unverified
Change Detection in Noisy Dynamic Networks: A Spectral Embedding Approach	Oct 5, 2019	Change DetectionFraud Detection	—Unverified
Advanced Financial Fraud Detection Using GNN-CL Model	Jul 9, 2024	Fraud Detectionmodel	—Unverified
A Comparison of Decision Forest Inference Platforms from A Database Perspective	Feb 9, 2023	Fraud DetectionManagement	—Unverified
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge	Aug 30, 2024	DeepFake DetectionFace Swapping	—Unverified
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com	May 22, 2024	Fraud DetectionSelection bias	—Unverified
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection	Aug 20, 2022	Fraud DetectionIngenuity	—Unverified
A novel approach to increase scalability while training machine learning algorithms using Bfloat 16 in credit card fraud detection	Jun 24, 2022	BIG-bench Machine LearningFraud Detection	—Unverified
Causality from Bottom to Top: A Survey	Mar 17, 2024	Anomaly DetectionFraud Detection	—Unverified
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks	Feb 22, 2024	Fraud DetectionGraph Neural Network	—Unverified
Anomaly Detection using Capsule Networks for High-dimensional Datasets	Dec 27, 2021	Anomaly DetectionBinary Classification	—Unverified
Building High-Quality Auction Fraud Dataset	Jun 10, 2019	Fraud DetectionVocal Bursts Intensity Prediction	—Unverified
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms	Jan 30, 2018	Anomaly DetectionBIG-bench Machine Learning	—Unverified
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection	May 25, 2022	Entity EmbeddingsFraud Detection	—Unverified
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector	Oct 29, 2023	counterfactualDecision Making	—Unverified
Anomaly Detection in Power Generation Plants with Generative Adversarial Networks	Sep 30, 2023	Anomaly DetectionData Augmentation	—Unverified
Addressing Noise and Stochasticity in Fraud Detection for Service Networks	May 2, 2025	Fraud Detection	—Unverified
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis	Sep 10, 2022	Anomaly DetectionDiversity	—Unverified
Blockchain Data Analysis in the Era of Large-Language Models	Dec 9, 2024	Fraud Detection	—Unverified
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model	Sep 16, 2020	Anomaly DetectionFraud Detection	—Unverified
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data	Sep 15, 2024	DiversityFraud Detection	—Unverified
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection	Nov 19, 2015	Bayesian InferenceFraud Detection	—Unverified
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection	Sep 28, 2020	Feature EngineeringFraud Detection	—Unverified
Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflow	Apr 3, 2025	Fraud Detection	—Unverified
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach	Feb 27, 2024	Fraud Detection	—Unverified

Show:10 25 50

← PrevPage 8 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