all InfoSec news
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers. (arXiv:2304.03698v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
The rapid evolvement of deepfake creation technologies is seriously threating
media information trustworthiness. The consequences impacting targeted
individuals and institutions can be dire. In this work, we study the evolutions
of deep learning architectures, particularly CNNs and Transformers. We
identified eight promising deep learning architectures, designed and developed
our deepfake detection models and conducted experiments over well-established
deepfake datasets. These datasets included the latest second and third
generation deepfake datasets. We evaluated the effectiveness of our developed
single model detectors …
cnns datasets deepfake deepfake detection deep learning detection information institutions latest media networks neural networks rapid single study technologies third transformers work