Adding SE attention blocks to a small CNN raises deepfake detection accuracy from 91.13% to 94.14% on the StyleGAN subset of DFFD, but the result rests on a single run with questionable comparisons.
Deepfake attacks: Generation, detection, datasets, challenges, and research direc- tions
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Enhancing Deepfake Detection using SE Block Attention with CNN
Adding SE attention blocks to a small CNN raises deepfake detection accuracy from 91.13% to 94.14% on the StyleGAN subset of DFFD, but the result rests on a single run with questionable comparisons.