Enhancing DeepFake Detection through Deep Learning and Explainable AI

DeepFake technologies powered by AI models like GANs and Auto-Encoders, with serious threats to privacy and security. Traditional detections methods struggled against Sophisticated DeepFakes. This paper reviews existing detection techniques, identifies research gaps and proposes a new framework integrating CNNs, Transformers, Bi-LSTM and Explainable AI (XAI) for detecting both images and videos and for better accuracy and interpretability.