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A Review on Deepfakes Detection Using Machine Learning Techniques by Abhinav Srivastava; Manish Pandey; Santosh Kumar Sahu is a book available to read on EtoBox.

What is A Review on Deepfakes Detection Using Machine Learning Techniques about?

Machine learning's recent developments have given rise to the phenomenon of "deep fakes," which is a cause for serious concern. Deepfakes are the phenomenon of creating fake digital items that look like real images, and a string of films has sprung up on social media in the past and coming years. Deepfakes are easily generated by anyone and can be easily distributed on social media owing to a low level of technical expertise. This paper aims to review various techniques that are used for the detection of deepfakes; many of the authors have used data sets of images and videos like FaceFroensics++, thispersondoesnotexist.com, etc. In various studies, some authors have used their own data for analysis. To accurately detect deepfakes, there is a need for smart technology. The study aims to show the existing technologies like convolutional neural networks, recurrent neural networks and support vector machines in the detection of deepfakes. In recent months, machine learning has gained popularity for detecting plausible face swaps in films that leave minimal indications of tampering or deepfake movies. Thus, to combat deepfakes, there is a need for efficient algorithms for detection in a

Author

Abhinav Srivastava; Manish Pandey; Santosh Kumar Sahu

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2022

Language

EN

ISBN

9789811950377

Subjects

Computer Science, Business, Engineering