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 151–200 of 547 papers

TitleStatusHype
SimMLP: Training MLPs on Graphs without SupervisionCode1
Confronting Discrimination in Classification: Smote Based on Marginalized Minorities in the Kernel Space for Imbalanced Data—0
On the Detection of Reviewer-Author Collusion Rings From Paper BiddingCode0
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation LearningCode1
Coherent Feed Forward Quantum Neural Network—0
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection—0
Comparative Study on the Performance of Categorical Variable Encoders in Classification and Regression TasksCode0
Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud DetectionCode0
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action—0
SeqNAS: Neural Architecture Search for Event Sequence ClassificationCode0
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction SequencesCode0
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models—0
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective—0
TSPP: A Unified Benchmarking Tool for Time-series ForecastingCode0
Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications—0
Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection—0
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly DetectionCode1
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments—0
Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style—0
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection—0
FiFAR: A Fraud Detection Dataset for Learning to DeferCode1
Leveraging the Urysohn Lemma of Topology for an Enhanced Binary ClassifierCode0
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and SpectrumCode1
Explainable Fraud Detection with Deep Symbolic ClassificationCode0
Similar Document Template Matching Algorithm—0
A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection—0
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models—0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Text generation for dataset augmentation in security classification tasksCode1
SplitGNN: Spectral Graph Neural Network for Fraud Detection against HeterophilyCode1
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection—0
Dynamic Relation-Attentive Graph Neural Networks for Fraud DetectionCode1
Anomaly Detection in Power Generation Plants with Generative Adversarial Networks—0
Credit Card Fraud Detection with Subspace Learning-based One-Class Classification—0
Robust Principal Component Analysis using Density Power Divergence—0
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation—0
FinDiff: Diffusion Models for Financial Tabular Data GenerationCode1
Financial Fraud Detection using Quantum Graph Neural Networks—0
Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market—0
The AI Revolution: Opportunities and Challenges for the Finance Sector—0
TimeTrail: Unveiling Financial Fraud Patterns through Temporal Correlation Analysis—0
An engine to simulate insurance fraud network dataCode0
High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation ComparisonCode0
Robust Fraud Detection via Supervised Contrastive Learning—0
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer—0
ResBuilder: Automated Learning of Depth with Residual Structures—0
Parametric entropy based Cluster Centriod Initialization for k-means clustering of various Image datasets—0
AUC-Oriented Domain Adaptation: From Theory to AlgorithmCode0
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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