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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

Deep Learning testing

biblio

Visible to the public On the Investigation of Essential Diversities for Deep Learning Testing Criteria

Submitted by aekwall on Mon, 11/02/2020 - 2:47pm
  • Measurement
  • testing criteria
  • testing
  • test suites
  • test diversities
  • Task Analysis
  • system robustness
  • Reliability
  • pubcrawl
  • program testing
  • Neurons
  • neuron activities
  • Metrics
  • metamorphic testing
  • metrics testing
  • deep learning
  • learning (artificial intelligence)
  • image retrieval
  • fault diagnosis
  • fault detection ability
  • fault detection
  • essential metrics
  • essential diversities
  • erroneous behaviors
  • defined metrics
  • deep learning testing criteria
  • Deep Learning testing
  • deep learning systems
  • deep learning models
biblio

Visible to the public Test4Deep: An Effective White-Box Testing for Deep Neural Networks

Submitted by grigby1 on Tue, 02/18/2020 - 11:52am
  • Neurons
  • white-box testing framework
  • white box testing
  • white box cryptography
  • testing
  • Test4Deep
  • test cases
  • Software
  • Resiliency
  • resilience
  • pubcrawl
  • program testing
  • Prediction algorithms
  • optimization
  • Biological neural networks
  • neuron coverage
  • neural nets
  • multiple DNNs
  • Metrics
  • machine learning
  • learning (artificial intelligence)
  • generated test inputs
  • DNNs
  • diversity
  • DeepXplore
  • deep neural networks
  • Deep Learning testing
  • composability

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