11 citations · 41 across the 21 of their papers we have counts for
9 papers · 1 filter
Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components
Federico Marchesin, Matěj Hejda, Tzamn Melendez Carmona +5
Matrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing i…
Security and RAS in the Computing Continuum
Martí Alonso, David Andreu, Ramon Canal +10
Security and RAS are two non-functional requirements under focus for current systems developed for the computing continuum. Due to the increased number of interconnected computer s…
Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection
Alessio Carpegna, Chiara De Luca, Federico Emanuele Pozzi +4
Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients…
Can social media shape the security of next-generation connected vehicles?
Nicola Scarano, Luca Mannella, Alessandro Savino +1
The increasing adoption of connectivity and electronic components in vehicles makes these systems valuable targets for attackers. While automotive vendors prioritize safety, there…
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
Alberto Dequino, Alessio Carpegna, Davide Nadalini +4
Rehearsal-based Continual Learning (CL) has been intensely investigated in Deep Neural Networks (DNNs). However, its application in Spiking Neural Networks (SNNs) has not been expl…
Navigating the road to automotive cybersecurity compliance
Franco Oberti, Fabrizio Abrate, Alessandro Savino +2
The automotive industry has evolved significantly since the introduction of the Ford Model T in 1908. Today's vehicles are not merely mechanical constructs; they are integral compo…
Hardware-based stack buffer overflow attack detection on RISC-V architectures
Cristiano Pegoraro Chenet, Ziteng Zhang, Alessandro Savino +1
This work evaluates how well hardware-based approaches detect stack buffer overflow (SBO) attacks in RISC-V systems. We conducted simulations on the PULP platform and examined micr…
CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation
Sadek Misto Kirdi, Nicola Scarano, Franco Oberti +3
Modern vehicles are increasingly vulnerable to attacks that exploit network infrastructures, particularly the Controller Area Network (CAN) networks. To effectively counter such th…
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients
Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino +3
In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mec…