World Journal of Engineering Research and Technology

Dr. Chetanpal Singh*, Jatinder Warraich, Numan Ahmed and Rahul Thakkar

ABSTRACT

The technology of deep learning is often used for the resolution of some of the most intricate problems starting from analytic of big data to use of computer vision and in the control of human level applications. Advancements of deep learning is made and applied for the development of software for causing a threat situation to democracy, privacy as well as is risk to nations overall safety. Deep fake is a prominent application of deep learning which is creating havoc in the world by creating false image and videos. It is very hard to distinguish these images from real ones and hence it can be used tohurt societies and human community. This is also a threat at the national and global level. Hence in this paper many studies are studied to understand how the algorithm works and how detection method can be used to detect the deepfakes. The literature are reviewed which proposes how to effective detect deep fake and it is found that using artificial technologies and block chain this can be controlled to a large extent.

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