DeepFakesFLY

This project develops DeepFake detection by training AI on a dataset of bona fide and mala fide content encoded via neural implicit representations. Preliminary studies suggest reconstruction errors differ significantly between real and manipulated videos, enabling a novel detection algorithm. High-performance computing (HPC) is critical to accelerate SIREN-based image reconstruction and metric analysis, which would otherwise take years instead of months