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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

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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