Abstract

Because generative adversarial networks are better at creating high-quality images and videos, deepfake images and videos have become a critical problem today. Many tech giants have tried to develop algorithms to spot deepfakes to solve this problem; however, they have focused on different artifacts and GAN models. They have also examined various experimental scenarios. It isn

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.