Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture
The widespread use of the internet, coupled with the increasing production of digital content, has caused significant challenges in information security and manipulation. Deepfake detection has become a critical research topic in both academic and practical domains, as it involves identifying forged...
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Main Authors: | Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/2/525 |
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