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 151–175 of 547 papers

Title	Date	Tasks	Status
Applying Quantum Autoencoders for Time Series Anomaly Detection	Oct 5, 2024	Anomaly DetectionFraud Detection	—Unverified
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks	Oct 1, 2024	Fraud 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
"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
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data	Sep 15, 2024	DiversityFraud Detection	—Unverified
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks	Sep 15, 2024	Fraud Detection	—Unverified
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning	Sep 9, 2024	AttributeFraud Detection	—Unverified
DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection	Sep 9, 2024	Abuse DetectionAbusive Language	—Unverified
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges	Sep 6, 2024	FairnessFraud Detection	—Unverified
Ultra-imbalanced classification guided by statistical information	Sep 6, 2024	ClassificationFraud Detection	—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
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework	Aug 26, 2024	Decision MakingFraud Detection	—Unverified
RIFF: Inducing Rules for Fraud Detection from Decision Trees	Aug 23, 2024	Fraud Detection	—Unverified
Federated Graph Learning with Structure Proxy Alignment	Aug 18, 2024	Federated LearningFraud Detection	CodeCode Available
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice	Aug 15, 2024	Fraud DetectionKolmogorov-Arnold Networks	—Unverified
Minimum Enclosing Ball Synthetic Minority Oversampling Technique from a Geometric Perspective	Aug 7, 2024	Fraud DetectionMedical Diagnosis	—Unverified
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection	Aug 3, 2024	Fraud DetectionPrivacy Preserving	—Unverified
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision	Aug 1, 2024	Fraud Detection	CodeCode Available
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection	Aug 1, 2024	Fraud DetectionRepresentation Learning	—Unverified
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models	Jul 26, 2024	Fraud DetectionQuantum Machine Learning	—Unverified

Show:10 25 50

← PrevPage 7 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