Enhancing security in public spaces through generative adversarial networks (GANs) / [edited by] Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman.

Abstract "This book delves into the fascinating realm of GANs, a groundbreaking area of machine learning that has transformative implications for data security and privacy in public domains. It explores GANs' applications across various sectors such as cybersecurity, privacy-preserving data sharing, healthcare, retail, education, finance, and more"-- Provided by publisher.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Enhancing security in public spaces through generative adversarial networks (GANs) Hershey, PA : IGI Global, [2024] 9798369335970
Genre/formElectronic books.
LCCN 2024034913
ISBN9798369335994 (epub)
ISBN9798369335987 (ebook)
ISBN(h/c)
ISBN(s/c)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available