Deepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of Deep Fakes and so forth. Provides a technical introduction to Deep Fakes, its benefits, and the potential harms Presents practical approaches of creation and detection of Deep Fakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of Deep Fakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of Deep Fakes applications Discusses future research directions with emergence of Deep Fakes technology This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.
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