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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
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…