3 citations · 9 across the 7 of their papers we have counts for
3 papers · 1 filter
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks
Fernando Fernandes dos Santos, Angeliki Kritikakou, Josie Esteban Rodriguez Condia +4
The reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic Processing Units (GPUs) is a challenging problem since the hardware architecture is highly complex and…
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Niccolò Cavagnero, Fernando Dos Santos, Marco Ciccone +3
Deep Neural Networks (DNNs) enable a wide series of technological advancements, ranging from clinical imaging, to predictive industrial maintenance and autonomous driving. However,…
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits
Daniel Oliveira, Edoardo Giusto, Emanuele Dri +5
Quantum computing is a new technology that is expected to revolutionize the computation paradigm in the next few years. Qubits exploit the quantum physics proprieties to increase t…