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Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?

Guy HellerEthan Fetaya
Published in: SaTML (2023)
Keyphrases
  • dimensionality reduction
  • deep learning
  • unsupervised learning
  • high dimensional
  • stochastic gradient
  • differential privacy
  • feature space
  • differentially private
  • data sets
  • computer vision
  • semi supervised