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Sarah Khadijah Taylor

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Open access Jul 2026

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.

Ayat Abd-Muti Alrawahneh, Siti Norul Huda Sheikh Abdullah, Amelia Natasya Abdul Wahab et al. · 0 citations

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