Source: Zhuanzhi
This article is a book introduction, suggested reading time is 5 minutes.
This book is aimed at graduate students, researchers, and professionals in the fields of data science, artificial intelligence, computer vision, and machine learning.
DeepFakes is a synthetic media that utilizes 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 the technical introduction of the DeepFakes concept, the book also details algorithms for detecting DeepFakes, techniques for recognizing 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 DeepFakes, its benefits, and potential dangers.
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Introduces practical methods for creating and detecting DeepFakes using deep learning (DL) technology.
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Engages readers with various challenging issues and social impacts through existing solutions for DeepFakes.
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Includes research analysis in the field of DL fakes 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.
