A DeepFake is a digitally altered face intended to mimic another person. This technology is advancing rapidly, with the amount of DeepFakes increasing by 84% in 2019. Traditional detection methods that observe artifact and pixel inconsistencies fail to keep up. To combat this issue, our team developed a DeepFake detection software that: analyzes facial data derived from the motion capture software OpenFace, creates profiles to represent certain individuals, compares profiles to detect differences in facial Action Unit behavior.

Detecting DeepFakes by Comparing Facial Action Units Poster