Deepfakes : Creation, detection, and impact / edited by Loveleen Gaur.
Contributor(s): Gaur, L [editor.].
Material type:
TextPublisher: Boca Raton : CRC Press, 2023Edition: First edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781003231493.Subject(s): Deepfakes | Disinformation -- Prevention | Disinformation -- Social aspects | COMPUTERS / Computer Graphics / General | COMPUTERS / Machine Theory | TECHNOLOGY / ElectricityDDC classification: 303.375 Online resources: https://www.taylorfrancis.com/books/9781003231493 click here | Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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WWW | Non-fiction | 303.375 GAU/D (Browse shelf) | Available | EB794 |
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| 301 UBE/A Anthropology in the East: | 301.0285 ANT/A Anthropology, space, and geographic information systems / | 301.092 GUH/A An anthropologist among the Marxists and other essays/ | 303.375 GAU/D Deepfakes : | 303.66 FLI/G The geography of war and peace: | 304.28089 TUA/R Racial climates, ecological indifference : | 305.3 DAV/S Sex/Gender and self-determination: |
Introduction to deepfake technologies / Loveleen Gaur, Saurav Mallik, Noor Zaman Jhanjhi.
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 DeepFakes and so forth.
Provides a technical introduction to DeepFakes, its benefits, and the potential harms
Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques
Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions
Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications
Discusses 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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