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 201–250 of 547 papers

TitleStatusHype
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges—0
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach—0
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud DetectionCode0
Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search—0
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry—0
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks—0
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data—0
On the Potential of Network-Based Features for Fraud Detection—0
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
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
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective—0
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models—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
Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style—0
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments—0
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection—0
Leveraging the Urysohn Lemma of Topology for an Enhanced Binary ClassifierCode0
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
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
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
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
Financial Fraud Detection using Quantum Graph Neural Networks—0
The AI Revolution: Opportunities and Challenges for the Finance Sector—0
Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market—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
Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models—0
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA GraphCode0
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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