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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

Privacy-preserving Learning

biblio

Visible to the public imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks

Submitted by aekwall on Mon, 03/29/2021 - 11:57am
  • Predictive Metrics
  • Generative Adversarial Learning
  • Privacy-preserving Learning
  • learning latent representations
  • learned representations
  • information maximizing differentially private generative adversarial network
  • imdpGAN
  • end to end framework
  • personally identifiable information
  • binary classification
  • face recognition
  • privacy protection
  • private data
  • Scalability
  • differential privacy
  • deep learning
  • generative adversarial networks
  • Generators
  • Training
  • Data protection
  • pattern classification
  • neural nets
  • privacy
  • pubcrawl
  • Resiliency
  • learning (artificial intelligence)
biblio

Visible to the public "DIVa: Decentralized identity validation for social networks"

Submitted by grigby1 on Thu, 02/23/2017 - 12:05pm
  • learning (artificial intelligence)
  • user profile attribute
  • social networking (online)
  • Social network services
  • security
  • real-world OSN dataset
  • pubcrawl170105
  • Privacy-preserving Learning
  • privacy preservation
  • privacy
  • online social network
  • mining technique
  • association rules
  • fine-grained community-aware correlation
  • Ensemble Learning
  • DIVa
  • Decentralized Online Social Networks
  • decentralized learning approach
  • decentralized identity validation
  • data privacy
  • Data mining
  • Correlation
  • Computational modeling
  • Community-aware Identity Validation

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