Deep Learning Algorithms and Techniques to Identify Deepfakes
Identifying Deep Fakes 2021
- URL: https://peerj.com/collections/83-identifying-deepfakes/
- Call For Paper Type: SI
- H2 Index: 0
- Submission Date: 2021-09-02
Submit now to the PeerJ Computer Science Special Issue “Deep Learning Algorithms and Techniques to Identify Deepfakes”.
Edited by Prof. Imran Ashraf (Yeungnam University), Prof. Ali Kashif Bashir (Manchester Metropolitan University) and Prof. Yousaf Bin Zikria (Yeungnam University), the Special Issue will publish the latest research on deep learning techniques used for the identification of "deepfakes" - digital content that combines images with existing audio and video to create altered footage.
Publishing in a PeerJ Special Issue maximizes the visibility of your research to your community, and increases its impact. Your article will be published and promoted alongside other cutting-edge research on this topic, across multiple channels and to the half million visitors each month to our website.
For more information, visit https://peerj.com/collections/83-identifying-deepfakes/
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