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 226–250 of 547 papers

Title	Date	Tasks	Status	Hype
Leveraging Machine Learning for Multichain DeFi Fraud Detection	May 17, 2023	Fraud Detection	—Unverified	0
Incremental Outlier Detection Modelling Using Streaming Analytics in Finance & Health Care	May 17, 2023	Diabetes PredictionFraud Detection	—Unverified	0
Automatic Procurement Fraud Detection with Machine Learning	Apr 20, 2023	Fraud Detection	—Unverified	0
BadVFL: Backdoor Attacks in Vertical Federated Learning	Apr 18, 2023	Backdoor AttackFederated Learning	—Unverified	0
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification	Apr 16, 2023	Fraud DetectionImage Retrieval	—Unverified	0
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware	Mar 30, 2023	CPUFraud Detection	CodeCode Available	0
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection	Mar 29, 2023	Fraud Detection	CodeCode Available	1
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection	Mar 29, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection	Mar 28, 2023	Fraud DetectionGraph Neural Network	CodeCode Available	1
Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detection	Mar 27, 2023	Fraud Detection	—Unverified	0
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis	Mar 26, 2023	Fraud DetectionVulnerability Detection	CodeCode Available	1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning	Mar 22, 2023	Dynamic Link PredictionDynamic Node Classification	CodeCode Available	1
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data	Mar 11, 2023	Fraud Detection	—Unverified	0
ATM Fraud Detection using Streaming Data Analytics	Mar 8, 2023	Fraud Detection	—Unverified	0
Neural-based classification rule learning for sequential data	Feb 22, 2023	Binary ClassificationClassification	—Unverified	0
Label Information Enhanced Fraud Detection against Low Homophily in Graphs	Feb 21, 2023	Fraud DetectionNode Classification	CodeCode Available	1
Deep Anomaly Detection under Labeling Budget Constraints	Feb 15, 2023	Anomaly DetectionFraud Detection	CodeCode Available	0
A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies	Feb 15, 2023	Decision MakingFraud Detection	—Unverified	0
Efficient Fraud Detection Using Deep Boosting Decision Trees	Feb 12, 2023	Fraud DetectionRepresentation Learning	CodeCode Available	0
Fairness-aware Multi-view Clustering	Feb 11, 2023	ClusteringContrastive Learning	CodeCode Available	0
A Comparison of Decision Forest Inference Platforms from A Database Perspective	Feb 9, 2023	Fraud DetectionManagement	—Unverified	0
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)	Jan 26, 2023	Data AugmentationFraud Detection	—Unverified	0
A Survey on Actionable Knowledge	Jan 23, 2023	Fraud DetectionManagement	—Unverified	0
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms	Jan 18, 2023	Fraud Detection	—Unverified	0
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry	Jan 15, 2023	Fraud DetectionMultimodal Reasoning	—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