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 150 of 547 papers

TitleStatusHype
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud DetectionCode3
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph RepresentationCode3
Build a Deep Neural Network model using CPUs Builds a feed-forward multilayer artificial neural network on an H2OFrameCode3
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly DetectionCode2
TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud DetectionCode2
A Survey on Diffusion Models for Anomaly DetectionCode2
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML EvaluationCode2
Fraud Dataset Benchmark and ApplicationsCode2
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-TrainingCode2
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial StatementsCode1
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio PlatformCode1
A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud DetectionCode1
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing InducementsCode1
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud DetectorsCode1
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
NLP-ADBench: NLP Anomaly Detection BenchmarkCode1
Training MLPs on Graphs without SupervisionCode1
DocXPand-25k: a large and diverse benchmark dataset for identity documents analysisCode1
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental EvaluationCode1
SimMLP: Training MLPs on Graphs without SupervisionCode1
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation LearningCode1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly DetectionCode1
FiFAR: A Fraud Detection Dataset for Learning to DeferCode1
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and SpectrumCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
Text generation for dataset augmentation in security classification tasksCode1
SplitGNN: Spectral Graph Neural Network for Fraud Detection against HeterophilyCode1
Dynamic Relation-Attentive Graph Neural Networks for Fraud DetectionCode1
FinDiff: Diffusion Models for Financial Tabular Data GenerationCode1
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public ProcurementCode1
GAD-NR: Graph Anomaly Detection via Neighborhood ReconstructionCode1
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial ForensicsCode1
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud DetectionCode1
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud DetectionCode1
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud DetectionCode1
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity AnalysisCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Label Information Enhanced Fraud Detection against Low Homophily in GraphsCode1
KGLM: Integrating Knowledge Graph Structure in Language Models for Link PredictionCode1
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)Code1
Customs Import Declaration DatasetsCode1
Learning Backward Compatible EmbeddingsCode1
Raising the Bar in Graph-level Anomaly DetectionCode1
Crypto Pump and Dump via Deep Learning TechniquesCode1
Modelling graph dynamics in fraud detection with "Attention"Code1
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection AlgorithmsCode1
TOD: GPU-accelerated Outlier Detection via Tensor OperationsCode1
Customs Fraud Detection in the Presence of Concept DriftCode1
EDITS: Modeling and Mitigating Data Bias for Graph Neural NetworksCode1
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LightGBMRecall @ 5% FPR54.3Unverified
2CatBoostRecall @ 5% FPR52.4Unverified
3LightGBMRecall @ 5% FPR51.76Unverified
41D-CSNNRecall @ 5% FPR50.35Unverified
5MLP–NNRecall @ 5% FPR49.6Unverified
61D-CSNNRecall @ 5% FPR42.79Unverified
7LightGBMRecall @ 1% FPR25.2Unverified
8FIGSRecall @ 1% FPR21Unverified
9CART+RIFFRecall @ 1% FPR18.4Unverified
10CARTRecall @ 1% FPR16Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC96.4Unverified
2JA-GNNAUC-ROC95.11Unverified
3GTANAUC-ROC94.98Unverified
4BOLT-GRAPHAUC-ROC93.18Unverified
5SplitGNNAUC-ROC92.03Unverified
6GAT+JKAUC-ROC90.04Unverified
7RLC-GNNAUC-ROC85.44Unverified
8RioGNNAUC-ROC83.54Unverified
9PC-GNNAUC-ROC79.87Unverified
10CARE-GNNAUC-ROC75.7Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC97.91Unverified
2GTANAUC-ROC97.5Unverified
3RLC-GNNAUC-ROC97.48Unverified
4RioGNNAUC-ROC96.19Unverified
5PC-GNNAUC-ROC95.86Unverified
6CARE-GNNAUC-ROC89.73Unverified
#ModelMetricClaimedVerifiedStatus
1GCNAUC0.83Unverified
2GraphSAGEAUC0.83Unverified
3GATAUC0.81Unverified
4GINAUC0.81Unverified
5Node2vecAUC0.53Unverified
6DeepwalkAUC0.45Unverified
#ModelMetricClaimedVerifiedStatus
1BiRankAUC0.79Unverified
2GraphSAGEAUC0.67Unverified
3metapath2vecAUC0.51Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy71.33Unverified
2DevNetAUC0.98Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR40.71Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR47.08Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR41.83Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR35.54Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR34.96Unverified
#ModelMetricClaimedVerifiedStatus
1SplitGNNAUC-ROC68.98Unverified