activity
20082023
most citedCNN Based Adversarial Embedding with Minimum Alteration for Image Steganography

290 citations · 670 across the 44 of their papers we have counts for

collaborators
Showing 2018 · cs.CRShow all

5 papers · 2 filters

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…

cs.CR2018★ 3 cited

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.CR2018★ 1 cited

SEMBA:SEcure multi-biometric authentication

Giulia Droandi, Mauro Barni, Riccardo Lazzeretti +1

Biometrics security is a dynamic research area spurred by the need to protect personal traits from threats like theft, non-authorised distribution, reuse and so on. A widely invest…

cs.CR2018★ 4 cited

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…