VIPPrint: Validating Synthetic Image Detection and Source Linking Methods on a Large Scale Dataset of Printed Documents

journal Paper1
Authors: Anselmo Ferreira, Ehsan Nowroozi, Mauro Barni
Year: 2021
Abstract: The possibility of carrying out a meaningful forensic analysis on printed and scanned images plays a major role in many applications. First of all, printed documents are often associated with criminal activities, such as terrorist plans, child pornography, and even fake packages. Additionally, printing and scanning can be used to hide the traces of image manipulation or the synthetic nature of images, since the artifacts commonly found in manipulated and synthetic images are gone after the images are printed and scanned…..

On the Transferability of Adversarial Examples Against CNN-Based Image Forensics

Conference Paper1
Authors: Mauro Barni, Kassem Kallas, Ehsan Nowroozi, Benedetta Tondi
Year: 2018
Abstract: Recent studies have shown that Convolutional Neural Networks (CNN) are relatively easy to attack through the generation of so-called adversarial examples. Such vulnerability also affects CNN-based image forensic tools. Research in deep learning has shown that adversarial examples exhibit a certain degree of transferability, i.e., they maintain part of their effectiveness even against CNN models other than the one targeted by the attack……..