This technology is not a piece of cake and thus could not be as troublesome as it may look like. It was introduced in 2018 by Ian Goodfellow, who was a Ph.D. Currently, people have been using the much more advanced tech i.e the generative adversarial networks (GANs). However, this is only the traditional method that was followed earlier. All of this can be a little too complicated to understand by everyone and hence it has not entered the mainstream media yet. Furthermore, the target image’s information is superimposed on the original videos and replaced by the source. The main aspect is the face structure that is taken care of by the latent representation. On the other hand, the decoder has the ability where it reconstructs the image that has a lower latent space. Here the encoder tends to use the source of an image and reduces it to a lower-dimensional latent space. The architecture mostly commonly used here is the autoencoders that handle both the encoder and the decoder. This is a lot more complex since it uses the neural network architectures and makes the necessary changes using the encoding and decoding pattern of the Image. We all know now the technology used by DeepFake works but it is not as easy as the Face Swap feature. There have been numerous such media being circulated all over the web and are being used in multiple illegal activities such as fake news, hoax, cyber fraud, financial fraud, videos, revenge po#rn, and a lot more similar activities.Ī lot of such cases had been reported the last year 2019 and the Government had taken the decision to limit the use of such technology so that it causes no further damage. Such actions are created by the help of deep learning and generative neural network architectures, such as autoencoders or generative adversarial networks (GANs). These are synthetic media such as Audio and Videos where your face or even your voice could be replaced by someone else to create a false portrayal. Deep learning technology such as Machine Learning and AI along with the word Fake to create false information by forging the actual data. Let us learn more about DeepFake and its impact.ĭeepFake is the combination of two words i.e. They have been taking proper measures so that it does not reach the mainstream platforms and create an impact over the world and the lives of other people. With the widespread nature of such activities, a lot of social media platforms have banned anyone who is found sharing such forged videos or audios. But no one knows when this can take a much more dangerous turn if it gets into the hands of wrong people. However, such videos and audios are being used only as a part to prank or in a harmless manner. Well, DeepFake videos aren’t the same but on a much-advanced level. You must have used the face swap feature by Snapchat where you can take up the face of your friend or anyone being on the camera at the same time. Who would have thought that people can think of something such as DeepFake and create havoc? However, it can be a lot more dangerous than one could ever hope for. We have come a long way with the advancement in these technologies and the implications have been of great use to mankind. The use of deep fake videos and Audio integrations have increased over the years with the use of AI and machine learning technology.
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