arXiv · 2004.12626
Preliminary Forensics Analysis of DeepFake Images
Abstract
One of the most terrifying phenomenon nowadays is the DeepFake: the possibility to automatically replace a person's face in images and videos by exploiting algorithms based on deep learning. This paper will present a brief overview of technologies able to produce DeepFake images of faces. A forensics analysis of those images with standard methods will be presented: not surprisingly state of the art techniques are not completely able to detect the fakeness. To solve this, a preliminary idea on how to fight DeepFake images of faces will be presented by analysing anomalies in the frequency domain.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato. 2020-08-04. Preliminary Forensics Analysis of DeepFake Images. https://doi.org/10.23919/aeit50178.2020.9241108
Cite the original work for its findings. Save a collection to share your selection of sources.