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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

artificial intelligence tools

biblio

Visible to the public Test-Driven Anonymization for Artificial Intelligence

Submitted by grigby1 on Thu, 08/13/2020 - 5:07pm
  • anonymization efforts
  • artificial intelligence security
  • test-driven anonymization approach
  • Software Testing
  • regulatory requirements
  • Privacy Protections
  • nonfunctional quality
  • k-anonymity
  • internal requirements
  • Insurance
  • functional suitability
  • functional quality
  • classification AIs
  • artificial intelligence tools
  • anonymized data
  • anonymization techniques
  • tools
  • anonymization
  • AI context
  • artificial intelligence technique
  • testing
  • Data protection
  • pattern classification
  • Production
  • health care
  • data privacy
  • Data models
  • pubcrawl
  • Artificial Intelligence
  • Predictive models
  • security of data

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