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 451–475 of 547 papers

Title	Date	Tasks	Status
A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective	Nov 19, 2016	Anomaly DetectionFraud Detection	—Unverified
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges	Mar 7, 2024	Fraud Detection	—Unverified
A Survey on Actionable Knowledge	Jan 23, 2023	Fraud DetectionManagement	—Unverified
A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions	Oct 28, 2024	Anomaly DetectionFairness	—Unverified
A Systems Theoretic Approach to Online Machine Learning	Apr 4, 2024	Fraud Detection	—Unverified
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection	Dec 6, 2022	Explainable Artificial Intelligence (XAI)Fraud Detection	—Unverified
ATM Fraud Detection using Streaming Data Analytics	Mar 8, 2023	Fraud Detection	—Unverified
Attention is All You Need Until You Need Retention	Jan 15, 2025	AllFraud Detection	—Unverified
Auditing: Active Learning with Outcome-Dependent Query Costs	Jun 10, 2013	Active LearningBinary Classification	—Unverified
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry	Jan 15, 2023	Fraud DetectionMultimodal Reasoning	—Unverified
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach	Jul 16, 2018	ClusteringFairness	—Unverified
Automatic Model Monitoring for Data Streams	Aug 12, 2019	Fraud Detectionmodel	—Unverified
Automatic Procurement Fraud Detection with Machine Learning	Apr 20, 2023	Fraud Detection	—Unverified
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning	Jun 19, 2020	Fraud Detectionimage-classification	—Unverified
BAAAN: Backdoor Attacks Against Auto-encoder and GAN-Based Machine Learning Models	Jan 1, 2021	Backdoor AttackBIG-bench Machine Learning	—Unverified
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models	Oct 6, 2020	Backdoor AttackBIG-bench Machine Learning	—Unverified
Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain	Dec 11, 2024	Binary ClassificationFraud Detection	—Unverified
BadVFL: Backdoor Attacks in Vertical Federated Learning	Apr 18, 2023	Backdoor AttackFederated Learning	—Unverified
Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system	Apr 15, 2021	Fraud Detection	—Unverified
Behavioral graph fraud detection in E-commerce	Oct 13, 2022	Fraud DetectionGPU	—Unverified
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification	Apr 16, 2023	Fraud DetectionImage Retrieval	—Unverified
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection	Nov 19, 2015	Bayesian InferenceFraud Detection	—Unverified
Blockchain Data Analysis in the Era of Large-Language Models	Dec 9, 2024	Fraud Detection	—Unverified
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector	Oct 29, 2023	counterfactualDecision Making	—Unverified
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection	May 25, 2022	Entity EmbeddingsFraud Detection	—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