Deepfake Technology
@taisiiabergAs you asked!
Deepfake Technology adopts necessary techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high capability/probability to deceive.
Deepfake or FaceSwap technology mainly swaps face or manipulates facial expressions.
Deepfakes are artificial media that replaces the person’s face from an image or a video to another person that looks like him/her.
The first Deepfake Production was FakeApp, developed by Reddit user. Face Swapping technology uses auto-encoder and decoder pairs where the autoencoder extracts dormant features of face images and the decoder is used to reconstruct the face images.
How it works:

Look how it looks like 🔊Sound ON!
Video with the President watch here.
Apps:
- Reface
- Avatarify
- FaceApp
- Reflect
- MSQRD App
- Snapchat
- Face Swap Live
- Face Swap by Microsoft (No access in Switzerland)
Platforms:
- Deepfakes web β
- DeepFaceLab
Even more there are voice Deepfakes, I’ll write about a bit later.
The disadvantages of Deepfakes or Face Swap include:
- Fraud: Audio Deepfakes have been in blackmailing and other scams, fooling people into thinking they are receiving instructions from a trusted individual.
- Credibility and authenticity: Deep fake motion pictures has been more difficult to create and the use of Face Swapping, increases the difficulty of classifying videos as genuine or not
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