no code implementations • 19 Sep 2022 • Lydia Abady, Edoardo Daniele Cannas, Paolo Bestagini, Benedetta Tondi, Stefano Tubaro, Mauro Barni
While we focus mostly on forensic techniques explicitly tailored to the detection of AI-generated synthetic contents, we also review some methods designed for general splicing detection, which can in principle also be used to spot AI manipulate images
no code implementations • 7 Jan 2022 • Edoardo Daniele Cannas, Nicolò Bonettini, Sara Mandelli, Paolo Bestagini, Stefano Tubaro
Synthetic Aperture Radar (SAR) images are a valuable asset for a wide variety of tasks.
no code implementations • 16 Nov 2020 • Luca Bondi, Edoardo Daniele Cannas, Paolo Bestagini, Stefano Tubaro
The fast and continuous growth in number and quality of deepfake videos calls for the development of reliable detection systems capable of automatically warning users on social media and on the Internet about the potential untruthfulness of such contents.
2 code implementations • 16 Apr 2020 • Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli, Luca Bondi, Paolo Bestagini, Stefano Tubaro
In this paper, we tackle the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques.
Ranked #1 on DeepFake Detection on FaceForensics++ (using extra training data)