activity
20182021
most citedCNN-Based Detection of Generic Constrast Adjustment with JPEG Post-processing

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking

Anselmo Ferreira, Ehsan Nowroozi, Mauro Barni

The possibility of carrying out a meaningful forensics analysis on printed and scanned images plays a major role in many applications. First of all, printed documents are often ass…

cs.CV2020

CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis

Mauro Barni, Kassem Kallas, Ehsan Nowroozi +1

Last-generation GAN models allow to generate synthetic images which are visually indistinguishable from natural ones, raising the need to develop tools to distinguish fake and natu…

cs.CR2019

Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples

Mauro Barni, Ehsan Nowroozi, Benedetta Tondi +1

We investigate if the random feature selection approach proposed in [1] to improve the robustness of forensic detectors to targeted attacks, can be extended to detectors based on d…

cs.CR2018

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

Mauro Barni, Kassem Kallas, Ehsan Nowroozi +1

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 a…

cs.CR2018★ 5 cited

CNN-Based Detection of Generic Constrast Adjustment with JPEG Post-processing

Mauro Barni, Andrea Costanzo, Ehsan Nowroozi +1

Detection of contrast adjustments in the presence of JPEG postprocessing is known to be a challenging task. JPEG post processing is often applied innocently, as JPEG is the most co…