Description: Deepfakes : Creation, Detection and Impact, Paperback by Gaur, Loveleen (EDT), ISBN 1032139234, ISBN-13 9781032139234, Like New Used, Free shipping in the US 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, th 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 DeepFakes and so forth.Provides a technical introduction to DeepFakes, its benefits, and the potential harmsPresents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) TechniquesDraws attention towards various challenging issues and societal impact of DeepFakes with their existing solutionsIncludes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applicationsDiscusses future research directions with emergence of DeepFakes 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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Publisher: CRC Press LLC
Publication Year: 2022
Book Title: Deepfakes : Creation, Detection, and Impact
Topic: Sociology / General
Number of Pages: Xviii, 145 Pages
Language: English
Illustrator: Yes
Genre: Social Science
Author: Loveleen Gaur
Format: Hardcover
