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Dec 12, 2023 · To address the survey gap, the paper proposes a comprehensive review of deepfake generation and detection and the different ML/DL approaches to ...
Feb 13, 2024 · Abstract · 1) XceptionNet: XceptionNet uses deep CNN to detect. deepfakes, and is trained on a large dataset of real · 2) FaceForensics++: The ...
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Dec 21, 2023 · We discuss a comparative analysis of deepfake models and public datasets present for deepfake detection purposes. We discuss the implementation ...
4 days ago · This survey paper aims to thoroughly analyse deepfake video generation and detection. The paper's main contribution is the classification of the ...
Section 7 exhibits Deepfake detection results of the selected models when applying to the real-life videos in a case study, and discussions along with ...
This survey paper provides a general understanding of deepfakes and their creation; it also presents an overview of state-of-the-art detection techniques, ...
This survey paper aims to thoroughly analyse deepfake video generation and detection. ... study, summaries of the datasets used, and challenges and future trends.
The use of deepfakes in cyberbullying cases will likely increase and become more of a threat as time goes on, especially for younger generations who frequently.
This study aims to explore the techniques for deepfake creation and detection, using various methods for algorithm analysis and image analysis to find the root ...
Jan 13, 2023 · The study of deepfake generation and detection, in recent years, is gathering much more momentum in the computer vision and machine learning ...