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A Survey on Deep Learning Resilience Assessment Methodologies

Annachiara Ruospo,Ernesto Sanchez,Lucas Matana Luza,Luigi Dilillo,Marcello Traiola,Alberto Bosio

Computer（2023）

Cited 8|Views20
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Abstract
Deep learning (DL) reliability is becoming a growing concern, and efficient reliability assessment approaches are required to meet safety constraints. This article presents a survey of the main DL reliability assessment methodologies, focusing mainly on fault injection techniques used to evaluate DL resilience.
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Key words
Deep learning,Focusing,Safety,Reliability,Resilience
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