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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

CNN and RNN using Deepfake detection

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  • CNN and RNN using Deepfake detection

A. Sathiya Priya and T. Manisha *

Department of Information Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India.
 
Research Article
 
International Journal of Science and Research Archive, 2024, 11(02), 613–618.
Article DOI: 10.30574/ijsra.2024.11.2.0460
DOI url: https://doi.org/10.30574/ijsra.2024.11.2.0460
Received on 05 February 2024; revised on 16 March 2024; accepted on 19 March 2024
 
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.
 
Deepfake; Deep Learning; Face Detection; CNN; Machine Learning
 
https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-0460.pdf

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