Everything You Need to Know about Deepfakes
                     EVERYTHING YOU NEED 
TO KNOW ABOUT
Deepfake
2
INTRODUCTION
Deepfakes use deep learning artificial intelligence to 
replace the likeness of one person with another in video 
and other digital media. 
Source: www.businessinsider.com
3
SIMULATION
Computers have been getting increasingly better at 
simulating reality. Modern cinema, for example, relies 
heavily on computer-generated sets, scenery, and 
characters in place of the practical locations and props that 
were once common, and most of the time these scenes are 
largely indistinguishable from reality. 
Source: www.businessinsider.com
4
WHAT IS A DEEPFAKE?
1. The term "deepfake" comes from the underlying 
technology "deep learning," which is a form of AI. 
2. Deep learning algorithms, which teach themselves how 
to solve problems when given large sets of data, are 
used to swap faces in video and digital content to make 
realistic-looking fake media. 
Source: www.businessinsider.com
5
CREATING DEEPFAKES
There are several methods for creating deepfakes, but the 
most common relies on the use of deep neural networks 
involving autoencoders that employ a face-swapping 
technique. 
Source: www.businessinsider.com
6
HOW DOES IT WORK?
You first need a target video to use as the basis of the 
deepfake and then a collection of video clips of the person 
you want to insert in the target. 
Source: www.businessinsider.com
7
EXAMPLE
The videos can be completely unrelated; the target might 
be a clip from a Hollywood movie, for example, and the 
videos of the person you want to insert in the film might be 
random clips downloaded from YouTube. 
Source: www.businessinsider.com
8
AUTOENCODER
The autoencoder is a deep learning AI program tasked with 
studying the video clips to understand what the person 
looks like from a variety of angles and environmental 
conditions, and then mapping that person onto the 
individual in the target video by finding common features. 
Source: www.businessinsider.com
GENERATIVE 9
ADVERSARIAL NETWORKS
Another type of machine learning is added to the mix, 
known as Generative Adversarial Networks (GANs), which 
detects and improves any flaws in the deepfake within 
multiple rounds, making it harder for deepfake detectors to 
decode them. 
Source: www.businessinsider.com
10
GAN METHOD
GANs are also used as a popular method for creation of 
deepfakes, relying on the study of large amounts of data to 
"learn" how to develop new examples that mimic the real 
thing, with painfully accurate results.
Source: www.businessinsider.com
ARE DEEPFAKES ONLY 11
VIDEOS?
Deepfakes are not limited to just videos. Deepfake audio is 
a fast-growing field that has an enormous number of 
applications. 
Source: www.businessinsider.com