Project: PREMIER: PREserving Media trustworthiness in the artificial Intelligence ERa

Support: Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR) - PRIN 2017

Period: 2020-2023

To goal of PREMIER is to devise a new class of techniques capable of distinguishing fake from original videos. The new techniques will be developed by following a hybrid approach whereby forgery detectors based on deep learning are coupled with model-based methods, so to cope with the problems raising when deep learning is used within a multimedia forensics scenario. Looked-for solutions will aim at decreasing the amount of data needed for training, at providing ways to interpret the results of the forensic analysis, and at improving the security of the developed tools in the presence of an informed forger aiming at evading fake media detection.