An Optimized Audio–Visual Deepfake Detection Framework Using Mamba Vision Transformers with Linear Complexity
The rise of advanced deepfake technologies presents new challenges to media authenticity, making it harder to spot manipulated videos through traditional approaches. Current approaches have a quadratic time complexity O(n2), poor cross-dataset generalization with 20 to 35% accuracy degradation, and inadequate audio–vis...