activity
20162026
most citedAn expanded evaluation of protein function prediction methods shows an improvement in accuracy

457 citations · 648 across the 21 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.NE2022

Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks

Sepide Saeedi, Alessio Carpegna, Alessandro Savino +1

Approximate Computing (AxC) techniques trade off the computation accuracy for performance, energy, and area reduction gains. The trade-off is particularly convenient when the appli…

cs.AR2022★ 10 cited

Micro-Architectural features as soft-error induced fault executions markers in embedded safety-critical systems: a preliminary study

Deniz Kasap, Alessio Carpegna, Alessandro Savino +1

Radiation-induced soft errors are one of the most challenging issues in Safety Critical Real-Time Embedded System (SACRES) reliability, usually handled using different flavors of D…

cs.CR2022★ 6 cited

LIN-MM: Multiplexed Message Authentication Code for Local Interconnect Network message authentication in road vehicles

Franco Oberti, Ernesto Sanchez, Alessandro Savino +3

The automotive market is profitable for cyberattacks with the constant shift toward interconnected vehicles. Electronic Control Units (ECUs) installed on cars often operate in a cr…

cs.CR2022★ 14 cited

CAN-MM: Multiplexed Message Authentication Code for Controller Area Network message authentication in road vehicles

Franco Oberti, Ernesto Sanchez, Alessandro Savino +2

The automotive market is increasingly profitable for cyberattacks with the constant shift toward fully interconnected vehicles. Electronic Control Units (ECUs) installed on cars of…

cs.CR2022★ 1 cited

Using analog scrambling circuits for automotive sensor integrity and authenticity

Cristiano Pegoraro Chenet, Alessandro Savino, Stefano di Carlo

The automotive domain rapidly increases the embedded amount of complex and interconnected electronics systems. A considerable proportion of them are real-time safety-critical devic…

cs.NE2022★ 50 cited

Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks

Alessio Carpegna, Alessandro Savino, Stefano Di Carlo

Spiking Neural Networks (SNN) are an emerging type of biologically plausible and efficient Artificial Neural Network (ANN). This work presents the development of a hardware acceler…