SOTAVerified

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

Showing 51–100 of 547 papers

TitleStatusHype
XBNet : An Extremely Boosted Neural NetworkCode1
OCT-GAN: Neural ODE-based Conditional Tabular GANsCode1
Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud DetectionCode1
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud DetectionCode1
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural NetworksCode1
New Benchmarks for Learning on Non-Homophilous GraphsCode1
Stock price prediction using Generative Adversarial NetworksCode1
Promoting Fairness through Hyperparameter OptimizationCode1
TimeSHAP: Explaining Recurrent Models through Sequence PerturbationsCode1
xFraud: Explainable Fraud Transaction DetectionCode1
Tabular Transformers for Modeling Multivariate Time SeriesCode1
Active Learning for Human-in-the-Loop Customs InspectionCode1
Graph Neural Network for Fraud Detection via Spatial-Temporal AttentionCode1
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud DetectionCode1
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged FraudstersCode1
Graph Prototypical Networks for Few-shot Learning on Attributed NetworksCode1
Robust Spammer Detection by Nash Reinforcement LearningCode1
Stealing Links from Graph Neural NetworksCode1
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud DetectionCode1
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud DetectionCode1
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier DetectionCode1
Continuous-variable quantum neural networksCode1
Credit Card Fraud Detection Using Convolutional Neural NetworksCode1
Graph Learning—0
Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection—0
An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network—0
Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability—0
FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations—0
Advanced fraud detection using machine learning models: enhancing financial transaction security—0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies—0
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective—0
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods—0
Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced DatasetsCode0
Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment—0
Addressing Noise and Stochasticity in Fraud Detection for Service Networks—0
Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection—0
Dual-channel Heterophilic Message Passing for Graph Fraud DetectionCode0
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID GraphsCode0
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention—0
Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflow—0
Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous Patterns—0
A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection—0
Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection—0
Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning—0
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning—0
Financial Fraud Detection with Entropy ComputingCode0
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions—0
Zero-to-One IDV: A Conceptual Model for AI-Powered Identity Verification—0
Perseus: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LightGBMRecall @ 5% FPR54.3—Unverified
2CatBoostRecall @ 5% FPR52.4—Unverified
3LightGBMRecall @ 5% FPR51.76—Unverified
41D-CSNNRecall @ 5% FPR50.35—Unverified
5MLP–NNRecall @ 5% FPR49.6—Unverified
61D-CSNNRecall @ 5% FPR42.79—Unverified
7LightGBMRecall @ 1% FPR25.2—Unverified
8FIGSRecall @ 1% FPR21—Unverified
9CART+RIFFRecall @ 1% FPR18.4—Unverified
10CARTRecall @ 1% FPR16—Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC96.4—Unverified
2JA-GNNAUC-ROC95.11—Unverified
3GTANAUC-ROC94.98—Unverified
4BOLT-GRAPHAUC-ROC93.18—Unverified
5SplitGNNAUC-ROC92.03—Unverified
6GAT+JKAUC-ROC90.04—Unverified
7RLC-GNNAUC-ROC85.44—Unverified
8RioGNNAUC-ROC83.54—Unverified
9PC-GNNAUC-ROC79.87—Unverified
10CARE-GNNAUC-ROC75.7—Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC97.91—Unverified
2GTANAUC-ROC97.5—Unverified
3RLC-GNNAUC-ROC97.48—Unverified
4RioGNNAUC-ROC96.19—Unverified
5PC-GNNAUC-ROC95.86—Unverified
6CARE-GNNAUC-ROC89.73—Unverified
#ModelMetricClaimedVerifiedStatus
1GCNAUC0.83—Unverified
2GraphSAGEAUC0.83—Unverified
3GATAUC0.81—Unverified
4GINAUC0.81—Unverified
5Node2vecAUC0.53—Unverified
6DeepwalkAUC0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1BiRankAUC0.79—Unverified
2GraphSAGEAUC0.67—Unverified
3metapath2vecAUC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy71.33—Unverified
2DevNetAUC0.98—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR40.71—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR47.08—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR41.83—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR35.54—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR34.96—Unverified
#ModelMetricClaimedVerifiedStatus
1SplitGNNAUC-ROC68.98—Unverified