Retracted: An Examination on Implementation of Deep Fake in Images Through Deep Learning
Abhilash Kumar Saxena, Raja Praveen K N
Abstract
Deep learning has been successfully used to address a variety of challenging problems, including large-scale information analysis, PC vision, and human-level control. However, deep learning engines have also been used to create software that may create risk protection, a majority rules system, and public safety. Deepfake is one of those recently developed deep learning-controlled apps. Deeply false calculations can produce phoney images and recordings that are difficult for viewers to distinguish from real ones. Deepfake is a tool used in manufactured media to produce phoney visual and auditory content based on a person's current media consumption. To make the deepfake appear plausible, fake media is used in place of a person's voice and face. Deepfakes have been used to spread misinformation as a result of this. Deepfakes are videos or pictures in which the face of one person is replaced with the face of another, usually a more famous person. With the most recent technological developments, even someone with little mechanical experience can create these recordings. This gives them the ability to mimic a prominent public figure, such as a president or VIP, increasing the potential that deepfakes will be used for other despicable ends.