Publication | Closed Access
Are CNNs Reliable Enough for Critical Applications? An Exploratory Study
53
Citations
13
References
2019
Year
Convolutional Neural NetworkEngineeringMachine LearningResource-constrained Cnn ImplementationsSystem ReliabilityCritical ApplicationsReliability EngineeringImage AnalysisData ScienceSparse Neural NetworkDynamic ReliabilityVideo TransformerFailure DetectionBit FlipsReliabilityComputer EngineeringComputer ScienceDeep LearningNeural Architecture SearchComputer VisionCellular Neural NetworkCnn Weights
Resource-constrained CNN implementations are subject to various reliability threats. This article provides an exploratory study investigating the impact of faults (soft errors modeled as bit flips) across the parameters of CNNs and the impact on the CNN weights, which can be used to create reliability-aware design guidelines.
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