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 376–400 of 547 papers

Title	Date	Tasks	Status
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective	Jan 1, 2024	Fraud DetectionTime Series	—Unverified
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets	Apr 11, 2017	Fraud DetectionGeneral Classification	—Unverified
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network	Feb 12, 2022	Fraud DetectionGraph Neural Network	—Unverified
Incremental Feature Learning For Infinite Data	Aug 6, 2021	Fraud DetectionTransfer Learning	—Unverified
Incremental Outlier Detection Modelling Using Streaming Analytics in Finance & Health Care	May 17, 2023	Diabetes PredictionFraud Detection	—Unverified
Industrial Scale Privacy Preserving Deep Neural Network	Mar 11, 2020	Fraud DetectionPrivacy Preserving	—Unverified
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance	Mar 5, 2020	Fraud DetectionGraph Learning	—Unverified
Inferring about fraudulent collusion risk on Brazilian public works contracts in official texts using a Bi-LSTM approach	Nov 1, 2020	Fraud Detection	—Unverified
Instance-Level Explanations for Fraud Detection: A Case Study	Jun 19, 2018	Fraud DetectionPrediction	—Unverified
Integrating Fuzzy Logic into Deep Symbolic Regression	Nov 1, 2024	Fraud Detectionregression	—Unverified
Interleaved Sequence RNNs for Fraud Detection	Feb 14, 2020	Feature EngineeringFraud Detection	—Unverified
Introducing DeepBalance: Random Deep Belief Network Ensembles to Address Class Imbalance	Sep 28, 2017	feature selectionFraud Detection	—Unverified
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase	Nov 5, 2024	Entity EmbeddingsEntity Linking	—Unverified
Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment	May 7, 2025	Anomaly DetectionFraud Detection	—Unverified
Kernel density estimation based sampling for imbalanced class distribution	Oct 17, 2019	Density EstimationFraud Detection	—Unverified
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data	Oct 10, 2024	Anomaly DetectionFraud Detection	—Unverified
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer	Aug 17, 2023	Domain AdaptationFraud Detection	—Unverified
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection	Jan 18, 2022	Domain AdaptationFraud Detection	—Unverified
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice	Aug 15, 2024	Fraud DetectionKolmogorov-Arnold Networks	—Unverified
Learning-Based Data Storage [Vision] (Technical Report)	Jun 12, 2022	Fraud Detectionimage-classification	—Unverified
Learning Representations for Outlier Detection on a Budget	Jul 29, 2015	Fraud DetectionOutlier Detection	—Unverified
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics	Sep 20, 2021	Binary ClassificationFraud Detection	—Unverified
Leveraging Machine Learning for Multichain DeFi Fraud Detection	May 17, 2023	Fraud Detection	—Unverified
Link Prediction using Graph Neural Networks for Master Data Management	Mar 7, 2020	Fraud DetectionLink Prediction	—Unverified
LogitMat : Zeroshot Learning Algorithm for Recommender Systems without Transfer Learning or Pretrained Models	Jul 6, 2023	Fraud DetectionMeta-Learning	—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