MCGAN—a cutting edge approach to real time investigate of multimedia deepfake multi collaboration of deep generative adversarial networks with transfer learning

Abstract The proliferation of multimedia-based deepfake content in recent years has posed significant challenges to information security and authenticity, necessitating the use of methods beyond dependable dynamic detection. In this paper, we utilize the powerful combination of Deep Generative Adver...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Shahid Karim, Xin Liu, Abdullah Ayub Khan, Asif Ali Laghari, Akeel Qadir, Irfana Bibi
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-11-01
Subjects:	Deep learning Generative Adversarial Networks (GANs) Transfer learning approach Multimedia systems Deepfake Digital forensics
Online Access:	https://doi.org/10.1038/s41598-024-80842-z