Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Guillaro, Fabrizio"'
In recent years, many forensic detectors have been proposed to detect AI-generated images and prevent their use for malicious purposes. Convolutional neural networks (CNNs) have long been the dominant architecture in this field and have been the subj
Externí odkaz:
http://arxiv.org/abs/2407.19553
In this paper we present TruFor, a forensic framework that can be applied to a large variety of image manipulation methods, from classic cheapfakes to more recent manipulations based on deep learning. We rely on the extraction of both high-level and
Externí odkaz:
http://arxiv.org/abs/2212.10957
Autor:
Mareen, Hannes, Bussche, Dante Vanden, Guillaro, Fabrizio, Cozzolino, Davide, Van Wallendael, Glenn, Lambert, Peter, Verdoliva, Luisa
Manipulation tools that realistically edit images are widely available, making it easy for anyone to create and spread misinformation. In an attempt to fight fake news, forgery detection and localization methods were designed. However, existing metho
Externí odkaz:
http://arxiv.org/abs/2210.02227
In this paper we present TruFor, a forensic framework that can be applied to a large variety of image manipulation methods, from classic cheapfakes to more recent manipulations based on deep learning. We rely on the extraction of both high-level and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c3fd82fc0c1eddd76a8c351f52f373d
Autor:
Jean-Jacques Rousseau, Bill Kapralos
This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were care