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 326–350 of 547 papers

Title	Date	Tasks	Status	Hype
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)	Dec 14, 2021	Anomaly DetectionExplainable artificial intelligence	—Unverified	0
DeepFIB: Self-Imputation for Time Series Anomaly Detection	Dec 12, 2021	Anomaly DetectionAnomaly Localization	—Unverified	0
Application of Deep Reinforcement Learning to Payment Fraud	Dec 8, 2021	Decision MakingDeep Reinforcement Learning	—Unverified	0
Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection	Dec 5, 2021	Fraud Detection	—Unverified	0
Network In Graph Neural Network	Nov 23, 2021	Fraud DetectionGraph Neural Network	—Unverified	0
Graph Neural Network Training with Data Tiering	Nov 10, 2021	CPUFraud Detection	—Unverified	0
Social Fraud Detection Review: Methods, Challenges and Analysis	Nov 10, 2021	Decision MakingFraud Detection	—Unverified	0
Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection	Nov 5, 2021	Fraud Detection	—Unverified	0
TOD: GPU-accelerated Outlier Detection via Tensor Operations	Oct 26, 2021	CPUFraud Detection	CodeCode Available	1
Credit Card Fraud Detection Using Machine Learning Approach	Oct 19, 2021	Fraud Detection	—Unverified	0
Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture	Oct 9, 2021	Fraud Detectiongraph construction	—Unverified	0
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources	Oct 5, 2021	Binary ClassificationClassification	—Unverified	0
Deep Fraud Detection on Non-attributed Graph	Oct 4, 2021	Contrastive LearningFraud Detection	—Unverified	0
Sample Complexity of Deep Active Learning	Sep 29, 2021	Active LearningBIG-bench Machine Learning	—Unverified	0
Customs Fraud Detection in the Presence of Concept Drift	Sep 29, 2021	Fraud Detection	CodeCode Available	1
Synthetic Data Generation for Fraud Detection using GANs	Sep 26, 2021	Fraud DetectionSynthetic Data Generation	—Unverified	0
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics	Sep 20, 2021	Binary ClassificationFraud Detection	—Unverified	0
Credit Card Fraud Detection using Machine Learning: A Study	Aug 23, 2021	BIG-bench Machine LearningFraud Detection	—Unverified	0
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks	Aug 11, 2021	Decision MakingFraud Detection	CodeCode Available	1
Incremental Feature Learning For Infinite Data	Aug 6, 2021	Fraud DetectionTransfer Learning	—Unverified	0
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection	Aug 5, 2021	Anomaly DetectionData Augmentation	CodeCode Available	0
Relational Graph Neural Networks for Fraud Detection in a Super-App environment	Jul 29, 2021	Fraud Detection	—Unverified	0
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning	Jul 28, 2021	Deep LearningFraud Detection	—Unverified	0
Applications of Machine Learning in Fintech Credit Card Fraud Detection	Jul 26, 2021	Fraud Detectionregression	—Unverified	0
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production	Jul 20, 2021	Fraud DetectionTransfer Learning	—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