Tutorial-HEPack4ML '23: Advanced HE Packing Methods with Applications to ML

Ehud Aharoni, Nir Drucker, Hayim Shaul

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Outsourcing computations over sensitive data to a third-party cloud environment should often rely on dedicated privacy-preserving solutions in order to adhere to privacy regulations such as the GDPR [ 7]. One solution that gained great attention is fully homomorphic encryption (FHE), a cryptographic method that allows performing different types of computation on encrypted data. Still, writing a non-interactive FHE code that evaluates complex functions is a task that is mostly left to experts. Otherwise, the resulted code may become very slow and even impractical. Tile tensor is a recent data structure that comes together with a dedicated language that aims to simplify the process of writing complex FHE programs. This tutorial introduces developers of security solutions without previous FHE background to the world of FHE programming through using tile tensors. It provides step-by-step guidelines for implementing complex operators such as matrix-multiplication and convolutions, and eventually guides the audience toward writing their own privacy-preserving convolutional neural network solution. The demonstrations in this tutorial use Python and the HElayers [1] library that implements tile tensors.

Original languageEnglish
Title of host publicationTutorial-HEPack4ML 2023 - Proceedings of the 2023 Tutorial on Advanced HE Packing Methods with Applications to ML
PublisherAssociation for Computing Machinery, Inc
Pages1-2
Number of pages2
ISBN (Electronic)9798400702679
DOIs
StatePublished - 30 Nov 2023
Externally publishedYes
Event2023 Tutorial on Advanced HE Packing Methods with Applications to ML, Tutorial-HEPack4ML 2023 - Copenhagen, Denmark
Duration: 30 Nov 2023 → …

Publication series

NameTutorial-HEPack4ML 2023 - Proceedings of the 2023 Tutorial on Advanced HE Packing Methods with Applications to ML

Conference

Conference2023 Tutorial on Advanced HE Packing Methods with Applications to ML, Tutorial-HEPack4ML 2023
Country/TerritoryDenmark
CityCopenhagen
Period30/11/23 → …

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Keywords

  • helayers
  • homomorphic encryption (he)
  • packing techniques
  • privacy preserving machine learn- ing (ppml)
  • secure computations
  • tile tensors

ASJC Scopus subject areas

  • Sociology and Political Science
  • Human-Computer Interaction

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