<ul><li>This research paper focuses on the comparative analysis of deepfake detection models.</li><li>The study investigates the performance of the GenConViT model in relation to other architectures in the DeepfakeBenchmark.</li><li>The evaluation of models was done using relevant metrics and new datasets, resulting in GenConViT exhibiting superior accuracy (93.82%) and generalization capacity.</li><li>This research contributes to the advancement of deepfake detection techniques to combat the dissemination of false information.</li></ul>

Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives

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