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Exploring Deepfakes

You're reading from  Exploring Deepfakes

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781801810692
Pages 192 pages
Edition 1st Edition
Languages
Authors (2):
Bryan Lyon Bryan Lyon
Profile icon Bryan Lyon
Matt Tora Matt Tora
Profile icon Matt Tora
View More author details

Table of Contents (15) Chapters

Preface Part 1: Understanding Deepfakes
Chapter 1: Surveying Deepfakes Chapter 2: Examining Deepfake Ethics and Dangers Chapter 3: Acquiring and Processing Data Chapter 4: The Deepfake Workflow Part 2: Getting Hands-On with the Deepfake Process
Chapter 5: Extracting Faces Chapter 6: Training a Deepfake Model Chapter 7: Swapping the Face Back into the Video Part 3: Where to Now?
Chapter 8: Applying the Lessons of Deepfakes Chapter 9: The Future of Generative AI Index Other Books You May Enjoy

Part 1: Understanding Deepfakes

Deepfakes are a new (and controversial) technique using generative AI. But despite the basic idea that they swap one face with another, how much do you really know about deepfakes?

It’s normal to have questions about something such as deepfakes, and this section will address those questions. We’ll start with the basics of how they work and the machine learning principles that deepfakes are built on, and then take a look at what software is available to make deepfakes. After that, we’ll examine the ethics of deepfakes, including the unsavory beginnings, and build a framework of sorts to evaluate how to make ethical deepfakes. Then, we’ll look at the most important part of creating a deepfake: data, including explanations of what makes good data and how to get the most from your (not-so-great) data. Finally, we’ll walk you through a complete deepfake using Faceswap, an open source deepfake program.

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Exploring Deepfakes
Published in: Mar 2023 Publisher: Packt ISBN-13: 9781801810692
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