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	Hype
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook	Mar 2, 2021	Fraud Detection	—Unverified	0
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook	Mar 2, 2021	Fraud Detection	—Unverified	0
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method	Feb 25, 2021	ClusteringFraud Detection	—Unverified	0
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?	Feb 12, 2021	Anomaly DetectionFraud Detection	—Unverified	0
LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks	Feb 11, 2021	Anomaly DetectionFraud Detection	CodeCode Available	0
Markov model with machine learning integration for fraud detection in health insurance	Feb 11, 2021	BIG-bench Machine LearningFraud Detection	—Unverified	0
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations	Jan 21, 2021	Decision MakingExplainable Artificial Intelligence (XAI)	—Unverified	0
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data	Jan 20, 2021	Fraud Detectionimage-classification	—Unverified	0
Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection	Jan 12, 2021	ClusteringFraud Detection	—Unverified	0
Weight-of-evidence 2.0 with shrinkage and spline-binning	Jan 5, 2021	Decision MakingFraud Detection	CodeCode Available	0
BAAAN: Backdoor Attacks Against Auto-encoder and GAN-Based Machine Learning Models	Jan 1, 2021	Backdoor AttackBIG-bench Machine Learning	—Unverified	0
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks	Dec 24, 2020	AttributeClassification	—Unverified	0
Cost-sensitive Semi-supervised Classification for Fraud Applications	Dec 21, 2020	ClassificationFraud Detection	—Unverified	0
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework	Dec 15, 2020	Anomaly DetectionFraud Detection	CodeCode Available	0
Deep Learning Methods for Credit Card Fraud Detection	Dec 7, 2020	BIG-bench Machine LearningDeep Learning	—Unverified	0
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations	Nov 30, 2020	Decision MakingFeature Importance	CodeCode Available	1
Teaching the Machine to Explain Itself using Domain Knowledge	Nov 27, 2020	Decision MakingFraud Detection	—Unverified	0
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation	Nov 26, 2020	Explainable Artificial Intelligence (XAI)Fraud Detection	—Unverified	0
xFraud: Explainable Fraud Transaction Detection	Nov 24, 2020	Explainable ModelsFraud Detection	CodeCode Available	1
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	Nov 23, 2020	Fraud DetectionGraph Embedding	CodeCode Available	0
Precision-Recall Curve (PRC) Classification Trees	Nov 15, 2020	ClassificationFraud Detection	—Unverified	0
Tabular Transformers for Modeling Multivariate Time Series	Nov 3, 2020	Fraud DetectionSynthetic Data Generation	CodeCode Available	1
Inferring about fraudulent collusion risk on Brazilian public works contracts in official texts using a Bi-LSTM approach	Nov 1, 2020	Fraud Detection	—Unverified	0
Active Learning for Human-in-the-Loop Customs Inspection	Oct 27, 2020	Active LearningFraud Detection	CodeCode Available	1
On the intrinsic robustness to noise of some leading classifiers and symmetric loss function -- an empirical evaluation	Oct 22, 2020	Fraud Detectionregression	—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