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CNN and RNN using Deepfake detection
Department of Information Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India.
Review
International Journal of Science and Research Archive, 2024, 11(02), 613–618.
Article DOI: 10.30574/ijsra.2024.11.2.0460
Publication history:
Received on 05 February 2024; revised on 16 March 2024; accepted on 19 March 2024
Abstract:
Deep fake Detection is the task of detecting the fake images that have been generated using deep learning techniques. Deep fakes are created by using machine learning algorithms to manipulate or replace parts of an original video or image, such as the face of a person. The goal of deep fake detection is to identify such manipulations and distinguish them from real videos or images. Deep fake technology has emerged as a significant concern in recent years, presenting challenges in various fields, including media authenticity, privacy, and security.
Keywords:
Deepfake; Deep Learning; Face Detection; CNN; Machine Learning
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
