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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الحاوية / القاعدة:	Scientific Reports
المؤلفون الرئيسيون:	Shahid Karim, Xin Liu, Abdullah Ayub Khan, Asif Ali Laghari, Akeel Qadir, Irfana Bibi
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Nature Portfolio 2024-11-01
الموضوعات:	Deep learning Generative Adversarial Networks (GANs) Transfer learning approach Multimedia systems Deepfake Digital forensics
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-024-80842-z