• search
    search
  • reviewers
    reviewers
  • feeds
    feeds
  • assignments
    assignments
  • settings
  • logout

On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach.

Mohit KumarBernhard Alois MoserLukas Fischer
Published in: J. Artif. Intell. Res. (2024)
Keyphrases
  • differentially private
  • data sets
  • databases
  • machine learning
  • website
  • supervised learning
  • kernel function