Foundations of Deepfake Detection: Insights from Initial Research

To maintain digital media integrity, it is important to develop effective techniques of deepfake detection. This paper provides a brief overview of the basic methods and approaches for deepfake detection. Starting with the initial stage up to date, we have looked at several models and evaluated their effectiveness in view of preliminary research findings. In our study, we evaluate current findings of the existing models with their approaches and efficacy in used datasets. We also recommend some other methods for further implementation in order to enhance the strength and precision of the deepfake detection system.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/aece62803.2024.10911536
Citations
4
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
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article

Foundations of Deepfake Detection: Insights from Initial Research

Pawan Kumar Pandey, Arun Solanki, Sanjay Kumar Sharma
4 citations
Generative Adversarial Networks and Image Synthesis
1.00
article

Foundations of Deepfake Detection: Insights from Initial Research

Pawan Kumar Pandey, Arun Solanki, Sanjay Kumar Sharma
article en
4 citations

Abstract

To maintain digital media integrity, it is important to develop effective techniques of deepfake detection. This paper provides a brief overview of the basic methods and approaches for deepfake detection. Starting with the initial stage up to date, we have looked at several models and evaluated their effectiveness in view of preliminary research findings. In our study, we evaluate current findings of the existing models with their approaches and efficacy in used datasets. We also recommend some other methods for further implementation in order to enhance the strength and precision of the deepfake detection system.

Gautam Buddha University (IN)
Climate action
Openalex Percentile: Top 21%
Generative Adversarial Networks and Image Synthesis
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Foundations of Deepfake Detection: Insights from Initial Research — Pawan Kumar Pandey, Arun Solanki, et al. · (2024) | TGRS Research Map | TGRS