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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

Data Anonymisation

biblio

Visible to the public Identifying Data Exposure Across Distributed High-Dimensional Health Data Silos through Bayesian Networks Optimised by Multigrid and Manifold

Submitted by grigby1 on Fri, 07/10/2020 - 11:40am
  • private data exposure
  • learning (artificial intelligence)
  • manifold
  • Manifolds
  • medical information systems
  • medical research
  • multigrid
  • multigrid solver method
  • privacy
  • privacy exposure risk
  • privacy legislation
  • information loss
  • Probabilistic logic
  • probability
  • pubcrawl
  • quasiidentifiers
  • Scalability
  • security of data
  • strong guarantees
  • thwarts de-anonymisation
  • treatment data
  • data anonymity
  • attribute combination
  • attribute pairs
  • attribute separation
  • Bayes methods
  • Bayesian networks
  • Bayesian networks optimised
  • belief networks
  • case agnostic method
  • Data Anonymisation
  • anonymisation algorithms
  • data deletion
  • Data models
  • data privacy
  • data transformation
  • Distributed databases
  • distributed high-dimensional data repositories
  • distributed high-dimensional health data silos
  • high conditional probability
  • identifying data exposure

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