What is Deepfake?

Deepfake (a compound word of 'deep learning' and 'fake') is a technique for synthesizing human images based on artificial intelligence (AI). It is used to combine and superimpose existing images and videos onto source images or videos using a machine learning technique called Generative Adversarial Network (roughly translated as anti-network). born). Deepfake phrase has been set in 2017.

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Because of these capabilities, deepfake is used to create fake news and malicious scams.

Deepfake video is created using two AI systems, a system called generator and the other system is called discriminator. Generator creates a fake video clip and then asks discriminator to confirm whether the fake clip is a real clip. Each time discriminator correctly distinguishes a fake video clip, it will give generator a clue about what should not be done when creating the next clip.

Generator and discriminator create something called Generative Adversarial Network (GAN). The first step is to set up a GAN network to determine the desired output and create training databases for the generator. When the generator starts creating an acceptable output level, video clips can be granted to discriminator.

Generator and discriminator continuously improve ability in deepfake video creation process. When generators do better in creating fake video clips, discriminator also increases their ability to detect them. In contrast, when discriminator detects better fake videos, the generator also creates fake videos on a sophisticated day.

Until recently, video content was harder to change. However, because deepfake is created through AI, they do not require significant skills to create an actual video. Unfortunately, this means anyone can create a deepfake. Another dangerous thing is that people will not trust the validity of any video content anymore.