End-to-End Encrypted Machine Learning

Publikasjonsdetaljer

  • Utgiver: Norsk Regnesentral
  • Serie: NR-notat ()
  • År: 2021
  • Antall sider: 18

This report explores the current state of the art of privacy preserving machine learning primitives, during both the training and inference phases. An overview of both cryptographic and systems approaches is presented.