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Exploring Deepfakes

You're reading from   Exploring Deepfakes Deploy powerful AI techniques for face replacement and more with this comprehensive guide

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781801810692
Length 192 pages
Edition 1st Edition
Languages
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Authors (2):
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Matt Tora Matt Tora
Author Profile Icon Matt Tora
Matt Tora
Bryan Lyon Bryan Lyon
Author Profile Icon Bryan Lyon
Bryan Lyon
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Understanding Deepfakes
2. Chapter 1: Surveying Deepfakes FREE CHAPTER 3. Chapter 2: Examining Deepfake Ethics and Dangers 4. Chapter 3: Acquiring and Processing Data 5. Chapter 4: The Deepfake Workflow 6. Part 2: Getting Hands-On with the Deepfake Process
7. Chapter 5: Extracting Faces 8. Chapter 6: Training a Deepfake Model 9. Chapter 7: Swapping the Face Back into the Video 10. Part 3: Where to Now?
11. Chapter 8: Applying the Lessons of Deepfakes 12. Chapter 9: The Future of Generative AI 13. Index 14. Other Books You May Enjoy

Preventing damage from deepfakes

There is no foolproof way to make yourself immune to deepfakes or their effects, but there are activities and actions you can take in order to reduce the dangers. In this section, we’ll examine methods that you can use to prevent as much damage as possible.

Starving the model of data

While deepfakes have been done with a minimum of data, the result is not seamless or high quality. This means that if you can simply prevent the deepfaker from getting enough data, you can prevent a deepfake from being of sufficient quality to fool anyone.

If you’re trying to protect a famous person, this tactic is much harder, since every movie, TV show, interview, or even photoshoot that is available is a source of training data for a model. In fact, it’s almost inevitable that enough data is available to target any famous person as the public nature of their job means that a lot of training data will be publicly available.

As a private...

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