Unmasking the digital illusion

This study delves further into the realm of deepfake. One of the biggest issues at the moment is deepfake, which involves innocent people without their knowledge. There are a lot of deepfake cases. Our solution helps a lot of people with deepfakes. We developed a web application that can identify films and determine whether they are authentic or fraudulent. The DFDC (Deepfake Detection Challenge) database, CNN model, GAN (generative adversarial network), RNN model, Python library, and AI models were used in the creation of this online application. Everyone may easily use and comprehend this online application. 97% of the results are accurate. Using the DFDC Database, we trained various AI models to identify deepfake videos.

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Publication Details

Journal
IET conference proceedings.
Published
2025-06-27
DOI
https://doi.org/10.1049/icp.2025.1285
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Unmasking the digital illusion

Mukesh Kumar, Daxa Vekariya, Hetvi Darji, Jeel Makwana
IET conference proceedings.
Generative Adversarial Networks and Image Synthesis
article

Unmasking the digital illusion

Mukesh Kumar, Daxa Vekariya, Hetvi Darji, Jeel Makwana
article en

Abstract

This study delves further into the realm of deepfake. One of the biggest issues at the moment is deepfake, which involves innocent people without their knowledge. There are a lot of deepfake cases. Our solution helps a lot of people with deepfakes. We developed a web application that can identify films and determine whether they are authentic or fraudulent. The DFDC (Deepfake Detection Challenge) database, CNN model, GAN (generative adversarial network), RNN model, Python library, and AI models were used in the creation of this online application. Everyone may easily use and comprehend this online application. 97% of the results are accurate. Using the DFDC Database, we trained various AI models to identify deepfake videos.

IET conference proceedings.Vol. 2025(7)
Parul University (IN)
Openalex Percentile: Top 87%
Generative Adversarial Networks and Image Synthesis
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