Kok Ven Jyn

A novel temporal attention regularization loss for robust and explainable deepfake detection

Results indicate that ASTAR improves classification performance, temporal attention coherence, and interpretability under the evaluated experimental settings, while further validation using multi-source training and additional unseen datasets remains necessary for broader generalization claims.