Deepfake detection on low-resolution images using optimized Ensemble Learning
A comprehensive Ensemble Learning framework designed to enhance deepfake detection capabilities on the CIFAKE dataset and confirms that leveraging architectural diversity is more effective than relying on complex single models, offering an optimal balance between detection accuracy and computational efficiency.