Search Results for author: Ricardo Sanchez-Matilla

Found 7 papers, 4 papers with code

Benchmark for Anonymous Video Analytics

no code implementations30 Sep 2020 Ricardo Sanchez-Matilla, Andrea Cavallaro

Out-of-home audience measurement aims to count and characterize the people exposed to advertising content in the physical world.

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

Towards robust sensing for Autonomous Vehicles: An adversarial perspective

no code implementations14 Jul 2020 Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro

Autonomous Vehicles rely on accurate and robust sensor observations for safety critical decision-making in a variety of conditions.

Autonomous Vehicles Decision Making

Multi-view shape estimation of transparent containers

1 code implementation27 Nov 2019 Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro

The 3D localisation of an object and the estimation of its properties, such as shape and dimensions, are challenging under varying degrees of transparency and lighting conditions.

Semantic Segmentation

ColorFool: Semantic Adversarial Colorization

2 code implementations CVPR 2020 Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Andrea Cavallaro

Instead, adversarial attacks that generate unrestricted perturbations are more robust to defenses, are generally more successful in black-box settings and are more transferable to unseen classifiers.

Adversarial Attack Colorization +1

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