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Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
The findings of our quantitative and qualitative evaluations document the advanced performance of the LIME explanation method against the other compared ones, and indicate this method as the most appropriate for explaining the decisions of the utilized deepfake detector.
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Enabled by recent improvements in generation methodologies, DeepFakes have become mainstream due to their increasingly better visual quality, the increase in easy-to-use generation tools and the rapid dissemination through social media.
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