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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

LeNet-5

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
biblio

Visible to the public Using Convolutional Neural Networks to Network Intrusion Detection for Cyber Threats

Submitted by grigby1 on Fri, 03/15/2019 - 11:53am
  • Metrics
  • Training
  • threat vectors
  • threat detection classification
  • Support vector machines
  • security of data
  • Resiliency
  • pubcrawl
  • privacy
  • pattern classification
  • network threat classification
  • network intrusion detection
  • network behavioural features
  • Behavior features
  • LeNet-5
  • learning (artificial intelligence)
  • Intrusion Detection
  • feedforward neural nets
  • feature extraction
  • deep learning
  • cyber threats
  • convolutional neural networks
  • convolution
  • Conferences
  • composability

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