Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparative Study on GANs and VAEs in Credit Card Fraud Detection Subject The topic of the resource anomaly detection; credit card fraud; fraud detection; generative adversarial networks (GANs); synthetic data generation; variational autoencoders (VAEs) Description An account of the resource In today's world, the major issue credit card sectors encounter is fraud. This comparative study deals with how GANs and VAEs detect fraudulent transactions. The dataset comprised 284807 transactions, of which 492 were fraudulent. These two models, GANs and VAEs, are trained on this dataset, during which, in the training process, the models are learned to deal with the imbalance in the dataset. VAEs are trained so that fraud transactions are considered anomalies, and only legitimate transactions are passed onto the model for training. Conversely, GANs generate synthetic data of fraud by addressing the problem of data imbalance and passed on to the ML model for classification. We can observe that Both the models have very good AUC-ROC scores of around 96%, which indicates their distinguishing capability between the classes. In all other aspects, GANs outperformed VAEs, which makes GANs a better option for fraud detection. 2024 IEEE. Creator An entity primarily responsible for making the resource Sukruth S.; Haripriya M.; Deepa S.; Jayapriya J.; Vinay M. Source A related resource from which the described resource is derived 2024 1st International Conference on Software, Systems and Information Technology, SSITCON 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SSITCON62437.2024.10796972" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SSITCON62437.2024.10796972</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215688428&amp;doi=10.1109%2FSSITCON62437.2024.10796972&amp;partnerID=40&amp;md5=693147697cb88f36955eb6b9a210929a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215688428&amp;doi=10.1109%2fSSITCON62437.2024.10796972&amp;partnerID=40&amp;md5=693147697cb88f36955eb6b9a210929a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035293-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sukruth S., Christ University, Department of Computer Science, Bangalore, India; Haripriya M., Christ University, Department of Computer Science, Bangalore, India; Deepa S., Christ University, Department of Computer Science, Bangalore, India; Jayapriya J., Christ University, Department of Computer Science, Bangalore, India; Vinay M., Christ University, Department of Computer Science, Bangalore, India