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Anisotropic multiresolution analyses for deep fake detection. (arXiv:2210.14874v1 [cs.CV])
Oct. 27, 2022, 1:15 a.m. | Wei Huang, Michelangelo Valsecchi, Michael Multerer
cs.CV updates on arXiv.org arxiv.org
Generative Adversarial Networks (GANs) have paved the path towards entirely
new media generation capabilities at the forefront of image, video, and audio
synthesis. However, they can also be misused and abused to fabricate elaborate
lies, capable of stirring up the public debate. The threat posed by GANs has
sparked the need to discern between genuine content and fabricated one.
Previous studies have tackled this task by using classical machine learning
techniques, such as k-nearest neighbours and eigenfaces, which unfortunately
did …
More from arxiv.org / cs.CV updates on arXiv.org
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