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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 547 papers

TitleStatusHype
AI-based Identity Fraud Detection: A Systematic Review—0
Attention is All You Need Until You Need Retention—0
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models—0
Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud DetectionCode0
An Efficient Outlier Detection Algorithm for Data Streaming—0
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection—0
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph RepresentationCode3
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud DetectorsCode1
Scam Detection for Ethereum Smart Contracts: Leveraging Graph Representation Learning for Secure Blockchain—0
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model SelectionCode0
Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain—0
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection—0
Blockchain Data Analysis in the Era of Large-Language Models—0
NLP-ADBench: NLP Anomaly Detection BenchmarkCode1
Training MLPs on Graphs without SupervisionCode1
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection—0
UMGAD: Unsupervised Multiplex Graph Anomaly Detection—0
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud DetectionCode0
Partitioning Message Passing for Graph Fraud Detection—0
Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian OptimizationCode0
Differential Privacy Under Class Imbalance: Methods and Empirical Insights—0
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation—0
Financial Fraud Detection using Jump-Attentive Graph Neural NetworksCode0
GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection—0
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase—0
Graph Neural Networks for Financial Fraud Detection: A Review—0
A Machine Learning Driven Website Platform and Browser Extension for Real-time Scoring and Fraud Detection for Website Legitimacy Verification and Consumer Protection—0
Integrating Fuzzy Logic into Deep Symbolic Regression—0
Differentiable Inductive Logic Programming for Fraud Detection—0
A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions—0
Proactive Fraud Defense: Machine Learning's Evolving Role in Protecting Against Online Fraud—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud DetectionCode0
Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML)—0
ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM—0
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding—0
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data—0
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection—0
Data Distribution ValuationCode0
Applying Quantum Autoencoders for Time Series Anomaly Detection—0
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism—0
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks—0
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis—0
Review of Digital Asset Development with Graph Neural Network Unlearning—0
Application of AI-based Models for Online Fraud Detection and Analysis—0
Credit Card Fraud Detection: A Deep Learning Approach—0
Fair Anomaly Detection For Imbalanced Groups—0
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud DetectionCode0
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks—0
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All datasetsBAF – BaseYelp-FraudAmazon-FraudElliptic DatasetHealthcare Provider Fraud Detection AnalysisKaggle-Credit Card Fraud DatasetBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VFDCompCN

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