Search Results for author: Riccardo Mazzon

Found 3 papers, 1 papers with code

On the reversibility of adversarial attacks

no code implementations1 Jun 2022 Chau Yi Li, Ricardo Sánchez-Matilla, Ali Shahin Shamsabadi, Riccardo Mazzon, Andrea Cavallaro

We refer to this property as the reversibility of an adversarial attack, and quantify reversibility as the accuracy in retrieving the original class or the true class of an adversarial example.

Adversarial Attack

Underwater image filtering: methods, datasets and evaluation

no code implementations22 Dec 2020 Chau Yi Li, Riccardo Mazzon, Andrea Cavallaro

The growing interest in underwater image filtering methods--including learning-based approaches used for both restoration and enhancement--and the associated challenges call for a comprehensive review of the state of the art.

Underwater Image Restoration

Exploiting vulnerabilities of deep neural networks for privacy protection

1 code implementation19 Jul 2020 Ricardo Sanchez-Matilla, Chau Yi Li, Ali Shahin Shamsabadi, Riccardo Mazzon, Andrea Cavallaro

To address these limitations, we present an adversarial attack {that is} specifically designed to protect visual content against { unseen} classifiers and known defenses.

Adversarial Attack Quantization

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