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09/09/2022
Robust-by-Design Classification via Unitary-Gradient Neural Networks
The use of neural networks in safety-critical systems requires safe and ...
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06/09/2022
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models
Adversarial examples represent a serious threat for deep neural networks...
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04/19/2022
Optimized Partitioning and Priority Assignment of Real-Time Applications on Heterogeneous Platforms with Hardware Acceleration
Hardware accelerators, such as those based on GPUs and FPGAs, offer an e...
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03/14/2022
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis
This work presents Z-Mask, a robust and effective strategy to improve th...
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01/05/2022
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
The existence of real-world adversarial examples (commonly in the form o...
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01/04/2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error
Although Deep Neural Networks (DNNs) have shown incredible performance i...
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08/13/2021
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
Deep learning and convolutional neural networks allow achieving impressi...
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01/28/2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis
The great performance of machine learning algorithms and deep neural net...
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01/27/2021