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20132026
most citedAligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

227 citations · 244 across the 22 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

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…

cs.CR2018

An Improved Statistic for the Pooled Triangle Test against PRNU-Copy Attack

Mauro Barni, Hector Santoyo Garcia, Benedetta Tondi

We propose a new statistic to improve the pooled version of the triangle test used to combat the fingerprint-copy counter-forensic attack against PRNU-based camera identification […

cs.GT2018

Detection Games Under Fully Active Adversaries

Benedetta Tondi, Neri Merhav, Mauro Barni

We study a binary hypothesis testing problem in which a defender must decide whether or not a test sequence has been drawn from a given memoryless source whereas, an attacker…

cs.CR2018

Secure Detection of Image Manipulation by means of Random Feature Selection

Zhipeng Chen, Benedetta Tondi, Xiaolong Li +3

We address the problem of data-driven image manipulation detection in the presence of an attacker with limited knowledge about the detector. Specifically, we assume that the attack…