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 401–425 of 547 papers

Title	Date	Tasks	Status	Hype
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking	Oct 21, 2020	Decision MakingFraud Detection	—Unverified	0
Teaching the Machine to Explain Itself using Domain Knowledge	Oct 16, 2020	Decision MakingFraud Detection	—Unverified	0
Credit card fraud detection using machine learning: A survey	Oct 13, 2020	BIG-bench Machine LearningFeature Engineering	—Unverified	0
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications	Oct 12, 2020	Federated LearningFraud Detection	—Unverified	0
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs	Oct 11, 2020	Fraud DetectionGraph Neural Network	—Unverified	0
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models	Oct 6, 2020	Backdoor AttackBIG-bench Machine Learning	—Unverified	0
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection	Sep 28, 2020	Feature EngineeringFraud Detection	—Unverified	0
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention	Sep 23, 2020	Fraud DetectionGraph Neural Network	CodeCode Available	1
Gamma distribution-based sampling for imbalanced data	Sep 22, 2020	Fraud Detection	—Unverified	0
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model	Sep 16, 2020	Anomaly DetectionFraud Detection	—Unverified	0
Social network analytics for supervised fraud detection in insurance	Sep 15, 2020	Fraud Detection	CodeCode Available	0
Fraud Detection using Data-Driven approach	Sep 8, 2020	Fraud Detection	—Unverified	0
Profiling US Restaurants from Billions of Payment Card Transactions	Sep 5, 2020	Fraud Detection	—Unverified	0
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance	Sep 3, 2020	Data AugmentationFraud Detection	—Unverified	0
Against Membership Inference Attack: Pruning is All You Need	Aug 28, 2020	AllFraud Detection	—Unverified	0
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection	Aug 23, 2020	Fraud DetectionMulti-target regression	CodeCode Available	1
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters	Aug 19, 2020	Anomaly DetectionFraud Detection	CodeCode Available	1
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection	Aug 8, 2020	Fraud DetectionManagement	—Unverified	0
Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods	Jul 29, 2020	BIG-bench Machine LearningFeature Engineering	—Unverified	0
Multi-stream RNN for Merchant Transaction Prediction	Jul 25, 2020	Fraud DetectionPrediction	—Unverified	0
SeismoFlow -- Data augmentation for the class imbalance problem	Jul 23, 2020	Data AugmentationFraud Detection	—Unverified	0
Unsupervised anomaly detection for discrete sequence healthcare data	Jul 20, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Towards Credit-Fraud Detection via Sparsely Varying Gaussian Approximations	Jul 14, 2020	Fraud Detection	—Unverified	0
Multi-future Merchant Transaction Prediction	Jul 10, 2020	DecoderFraud Detection	—Unverified	0
Weak error analysis for stochastic gradient descent optimization algorithms	Jul 3, 2020	Face RecognitionFraud 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