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 526–547 of 547 papers

Title	Date	Tasks	Status
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report)	Apr 22, 2024	Fraud Detection	CodeCode Available
Are You for Real? Detecting Identity Fraud via Dialogue Interactions	Aug 19, 2019	Dialogue ManagementFraud Detection	CodeCode Available
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph	Feb 26, 2025	Fraud DetectionKnowledge Graph Embeddings	CodeCode Available
ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets	Jun 20, 2022	BenchmarkingFraud Detection	CodeCode Available
Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud Detection	Jan 10, 2024	Fraud Detection	CodeCode Available
Explainable Fraud Detection with Deep Symbolic Classification	Dec 1, 2023	ClassificationFraud Detection	CodeCode Available
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection	Sep 16, 2024	Computational EfficiencyFraud Detection	CodeCode Available
Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets	May 7, 2025	Anomaly DetectionBinary Classification	CodeCode Available
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure	Oct 9, 2019	Anomaly DetectionFraud Detection	CodeCode Available
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection	Apr 19, 2018	Anomaly DetectionFraud Detection	CodeCode Available
TSPP: A Unified Benchmarking Tool for Time-series Forecasting	Dec 28, 2023	BenchmarkingFeature Engineering	CodeCode Available
Leveraging the Urysohn Lemma of Topology for an Enhanced Binary Classifier	Dec 19, 2023	Binary ClassificationClassification	CodeCode Available
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection	Oct 21, 2024	Fraud DetectionGraph Neural Network	CodeCode Available
LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks	Feb 11, 2021	Anomaly DetectionFraud Detection	CodeCode Available
Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark	May 18, 2017	Fraud Detection	CodeCode Available
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection	Aug 5, 2021	Anomaly DetectionData Augmentation	CodeCode Available
Local Multi-Label Explanations for Random Forest	Jul 5, 2022	ClassificationDecision Making	CodeCode Available
Local Subspace-Based Outlier Detection using Global Neighbourhoods	Nov 1, 2016	Fraud DetectionOutlier Detection	CodeCode Available
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection	May 25, 2022	Change DetectionFraud Detection	CodeCode Available
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	Nov 23, 2020	Fraud DetectionGraph Embedding	CodeCode Available
Comparative Study on the Performance of Categorical Variable Encoders in Classification and Regression Tasks	Jan 18, 2024	Fraud Detection	CodeCode Available
Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption	Nov 12, 2022	Fraud DetectionPrivacy Preserving	CodeCode Available

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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