AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures

• URL: http://arxiv.org/abs/2601.01281v1
• Date: Sat, 03 Jan 2026 20:44:50 GMT
• Title: AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
• Abstract summary: Four AI-based models, consisting of three CNNs and one Vision Transformer, were evaluated.<n>Data preprocessing and augmentation techniques improved model performance across different scenarios.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The increasing use of artificial intelligence generated deepfakes creates major challenges in maintaining digital authenticity. Four AI-based models, consisting of three CNNs and one Vision Transformer, were evaluated using large face image datasets. Data preprocessing and augmentation techniques improved model performance across different scenarios. VFDNET demonstrated superior accuracy with MobileNetV3, showing efficient performance, thereby demonstrating AI's capabilities for dependable deepfake detection.

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