52 citations · 166 across the 10 of their papers we have counts for
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Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
Federico Nesti, Giulio Rossolini, Saasha Nair +2
Deep learning and convolutional neural networks allow achieving impressive performance in computer vision tasks, such as object detection and semantic segmentation (SS). However, r…
Increasing the Confidence of Deep Neural Networks by Coverage Analysis
Giulio Rossolini, Alessandro Biondi, Giorgio Buttazzo
The great performance of machine learning algorithms and deep neural networks in several perception and control tasks is pushing the industry to adopt such technologies in safety-c…
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
Federico Nesti, Alessandro Biondi, Giorgio Buttazzo
Over the last few years, convolutional neural networks (CNNs) have proved to reach super-human performance in visual recognition tasks. However, CNNs can easily be fooled by advers…