Surveying Deepfakes
Understanding deepfakes begins with understanding where they came from and what they can do. In this chapter, we’ll begin to explore deepfakes and their operation. We will go through the basics of what makes a deepfake work, talking about the differences between a generative auto-encoder and a generative adversarial network (GAN). We will examine their usTo PD: es in media, education, and advertising. We’ll investigate their limitations and consider how to plan and design your deepfakes to avoid the common pitfalls. Finally, we’ll examine existing deepfake software and discuss what each kind can do.
We’ll cover this in the following sections:
- Introducing deepfakes
- Exploring the uses of deepfakes
- Discovering how deepfakes work
- Assessing the limitations of generative AI
- Looking at existing deepfake software
