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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

hardware mitigation techniques

biblio

Visible to the public Evaluating Fault Resiliency of Compressed Deep Neural Networks

Submitted by grigby1 on Wed, 02/26/2020 - 4:48pm
  • Hardware
  • VGG16
  • storage faults
  • software mitigation techniques
  • Resiliency
  • resilience
  • Quantization (signal)
  • pubcrawl
  • Predictive models
  • neural nets
  • LeNet-5
  • learning (artificial intelligence)
  • inference mechanisms
  • hardware mitigation techniques
  • Analytical models
  • fault tolerant computing
  • fault tolerance
  • Fault resiliency
  • Fault Resilience
  • Fault Attacks
  • Efficient and secure inference engines
  • Deep neural network model compression
  • deep learning
  • Data models
  • data compression
  • Computational modeling
  • compressed DNN models
  • compressed deep neural networks

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