mlsanityData to 7 Oct 2026

Credit Card Fraud Detection Using Advanced Transformer Model

arXiv 2406.03733 ↗First posted 6 Jun 2024cs.LG cs.AIcited by 26

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Abstract (arXiv)

With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security. This study focuses on innovative applications of the latest Transformer models for more robust and precise fraud detection. To ensure the reliability of the data, we meticulously processed the data sources, balancing the dataset to address the issue of data sparsity significantly. We also selected highly correlated vectors to strengthen the training process.To guarantee the reliability and practicality of the new Transformer model, we conducted performance comparisons with several widely adopted models, including Support Vector Machine (SVM), Random Forest, Neural Network, and Logistic Regression. We rigorously compared these models using metrics such as Precision, Recall, and F1 Score. Through these detailed analyses and comparisons, we present to the readers a highly efficient and powerful anti-fraud mechanism with promising prospects. The results demonstrate that the Transformer model not only excels in traditional applications but also shows great potential in niche areas like fraud detection, offering a substantial advancement in the field.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). Builds on 27 of its 63 references that are in the map. First posted on arXiv 6 Jun 2024.

Builds on

27 of 63 references.

References · 27

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  4. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,120
  5. 2019TabNet: Attentive Interpretable Tabular Learningcited by 640
  6. 2021Pareto Self-Supervised Training for Few-Shot Learningcited by 52
  7. 2022A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Predictioncited by 48
  8. 2024Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitatecited by 46
  9. 2018Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagerycited by 42
  10. 2023MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learningcited by 41
  11. 2023Attention-Enhancing Backdoor Attacks Against BERT-based Modelscited by 32
  12. 2024Regional Style and Color Transfercited by 30
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  1. 2024Harnessing XGBoost for Robust Biomarker Selection of Obsessive-Compulsive Disorder (OCD) from Adolescent Brain Cognitive Development (ABCD) datacited by 26
  2. 2024Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysiscited by 21
  3. 2023Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localizationcited by 20
  4. 2023Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updatescited by 20
  5. 2022Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GANcited by 16
  6. 2024Research on Driver Facial Fatigue Detection Based on Yolov8 Modelcited by 11
  7. 2024Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (GRUs) Modelcited by 9
  8. 2024Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learningcited by 8
  9. 2024AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learningcited by 8
  10. 2024Utilizing Large Language Models for Information Extraction from Real Estate Transactionscited by 7
  11. 2024Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translationcited by 7
  12. 2024Selective Domain-Invariant Feature for Generalizable Deepfake Detectioncited by 5
  13. 2023INTAGS: Interactive Agent-Guided Simulationcited by 1
  14. 2024TransTARec: Time-Adaptive Translating Embedding Model for Next POI Recommendationcited by 1
  15. 2024Enhancing user experience in large language models through human-centered design: Integrating theoretical insights with an experimental study to meet diverse software learning needs with a single document knowledge basecited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 23; 2025: 2; 2026: 1.

26 papers.

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  2. 2024CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 datasetcited by 24
  3. 2024Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approachcited by 24
  4. 2024Deep Learning-based Anomaly Detection and Log Analysis for Computer Networkscited by 23
  5. 2024Mitigating the Risk of Health Inequity Exacerbated by Large Language Modelscited by 21
  6. 2024Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelcited by 18
  7. 2024Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methodscited by 16
  8. 2024AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computingcited by 15
  9. 2024Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysiscited by 15
  10. 2024NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-trainingcited by 15
  11. 2024Style Transfer: From Stitching to Neural Networkscited by 8
  12. 2024Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samplescited by 5
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  2. 2024Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attentioncited by 4
  3. 2024CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interactioncited by 3
  4. 2024Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and Navigationcited by 2
  5. 2024Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clusteringcited by 2
  6. 2024Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approachcited by 2
  7. 2024Enhancing Exchange Rate Forecasting with Explainable Deep Learning Modelscited by 2
  8. 2025Improving Credit Card Fraud Detection through Transformer-Enhanced GAN Oversamplingcited by 2
  9. 2024MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detectioncited by 1
  10. 2024RW-NSGCN: A Robust Approach to Structural Attacks via Negative Samplingcited by 0
  11. 2024Redefining Data-Centric Design: A New Approach with a Domain Model and Core Data Ontology for Computational Systemscited by 0
  12. 2024Behavioral Sequence Modeling with Ensemble Learningcited by 0
  13. 2025Exploring a Hybrid Deep Learning Approach for Anomaly Detection in Mental Healthcare Provider Billing: Addressing Label Scarcity through Semi-Supervised Anomaly Detectioncited by 0
  14. 2026CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detectioncited by 0