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 101–125 of 547 papers

Title	Date	Tasks	Status	Hype
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data	Sep 15, 2024	DiversityFraud Detection	—Unverified	0
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning	Sep 9, 2024	AttributeFraud Detection	—Unverified	0
DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection	Sep 9, 2024	Abuse DetectionAbusive Language	—Unverified	0
Ultra-imbalanced classification guided by statistical information	Sep 6, 2024	ClassificationFraud Detection	—Unverified	0
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges	Sep 6, 2024	FairnessFraud Detection	—Unverified	0
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	0
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework	Aug 26, 2024	Decision MakingFraud Detection	—Unverified	0
RIFF: Inducing Rules for Fraud Detection from Decision Trees	Aug 23, 2024	Fraud Detection	—Unverified	0
Federated Graph Learning with Structure Proxy Alignment	Aug 18, 2024	Federated LearningFraud Detection	CodeCode Available	0
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice	Aug 15, 2024	Fraud DetectionKolmogorov-Arnold Networks	—Unverified	0
Minimum Enclosing Ball Synthetic Minority Oversampling Technique from a Geometric Perspective	Aug 7, 2024	Fraud DetectionMedical Diagnosis	—Unverified	0
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection	Aug 3, 2024	Fraud DetectionPrivacy Preserving	—Unverified	0
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision	Aug 1, 2024	Fraud Detection	CodeCode Available	0
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection	Aug 1, 2024	Fraud DetectionRepresentation Learning	—Unverified	0
DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis	Jul 30, 2024	Fraud DetectionTAG	CodeCode Available	1
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models	Jul 26, 2024	Fraud DetectionQuantum Machine Learning	—Unverified	0
Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection	Jul 24, 2024	Anomaly DetectionFraud Detection	—Unverified	0
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme	Jul 21, 2024	CPUFraud Detection	—Unverified	0
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs	Jul 17, 2024	Feature EngineeringFraud Detection	—Unverified	0
Advanced Financial Fraud Detection Using GNN-CL Model	Jul 9, 2024	Fraud Detectionmodel	—Unverified	0
New User Event Prediction Through the Lens of Causal Inference	Jul 8, 2024	Causal Inferencecounterfactual	—Unverified	0
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning	Jul 8, 2024	Anomaly DetectionFraud Detection	—Unverified	0
Enhancing supply chain security with automated machine learning	Jun 19, 2024	feature selectionFraud Detection	—Unverified	0
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning	Jun 17, 2024	Fraud DetectionTriplet	—Unverified	0
Federated learning in food research	Jun 10, 2024	Federated LearningFraud Detection	—Unverified	0

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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