Book Image

Exploring Deepfakes

By : Bryan Lyon, Matt Tora
Book Image

Exploring Deepfakes

By: Bryan Lyon, Matt Tora

Overview of this book

Applying Deepfakes will allow you to tackle a wide range of scenarios creatively. Learning from experienced authors will help you to intuitively understand what is going on inside the model. You’ll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap. We’ll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful. No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We’ll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking. By the end of the book, you’ll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.
Table of Contents (15 chapters)
1
Part 1: Understanding Deepfakes
6
Part 2: Getting Hands-On with the Deepfake Process
10
Part 3: Where to Now?

Summary

The ethics and dangers of deepfakes are probably the most publicized aspects of them. However, they’re things that all deepfake creators should consider, as it’s easy to operate unethically if you don’t consider these questions. Even those who aren’t creating deepfakes may need to think about how to prevent damage from deepfakes or other manipulated media.

As a creator, you must consider the ethics of the content you’re creating. Making sure that you evaluate such things as consent, the personal experience, and the labeling of a deepfake is a good way to clear ethical hurdles and make low-risk deepfakes.

Even as non-creators, people should be wary of the threats of deepfakes. The technology is “out of the bag” and cannot be erased. Even if the technology were to be banned immediately, state-level actors would still be able to wield it in potentially dangerous ways and could ignore any laws or restrictions placed on its...