Proving Digital Asset Integrity Using Deepfake Detection  

Project description:

In order to recover confidence in the growing digital ecosystem, especially in this new era of fake news and DeepFake, the goal of this project is to strengthen the confidence in the integrity of a digital asset  through its content (e.g., videos, photos, audio). The project will investigate the latest approaches for detecting manipulation of images and videos. New approaches will be proposed improving existing solutions. 

  • Starting date: 01/09/2021
  • Duration: 36 months
  • Funding source: POST
  • Researchers: Dr. Enjie Ghorbel,   Dr. Laura Lopez Fuentes, Kankana Roy, Nesryne Mejri, Pavel Chernakov, Prof. Djamila Aouada (PI)