DeepFakes is a type of synthetic media that uses powerful artificial intelligence (AI) and machine learning (ML) technologies to generate extremely realistic fake visual and audio content, making it difficult for humans to distinguish it from the original content. In addition to a technical introduction to the concept of DeepFakes, the book also details algorithms for detecting DeepFakes, techniques for identifying tampered content and face-swapping, generative adversarial networks, media forensics techniques, deep learning architectures, and forensic analysis of DeepFakes.
https://www.routledge.com/DeepFakes-Creation-Detection-and-Impact/Gaur/p/book/9781032139203
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Provides a technical introduction to deep forgery, its benefits, and potential harms.
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Introduces practical methods for creating and detecting deep forgery using deep learning (DL) technologies.
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Raises awareness of various challenging issues and social impacts through existing solutions for DeepFakes.
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Includes research analysis in the field of DL counterfeits to assist in the creation and detection of DeepFakes applications.
This book is aimed at graduate students, researchers, and professionals in the fields of data science, artificial intelligence, computer vision, and machine learning.
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