Privacy-Preserving 3-Layer Neural Network Training

John Chiang
8/18/2023
cs.CRcs.LG

No confident code implementation found for this paper.

Abstract

In this manuscript, we consider the problem of privacy-preserving training of neural networks in the mere homomorphic encryption setting. We combine several exsiting techniques available, extend some of them, and finally enable the training of 3-layer neural networks for both the regression and classification problems using mere homomorphic encryption technique.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{chiang2023privacypreserving,
  title  = {Privacy-Preserving 3-Layer Neural Network Training},
  author = {John Chiang},
  year   = {2023},
  eprint = {2308.09531},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.09531v3}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2308.09531.svg)](https://codeofpaper.com/paper/2308.09531)

Discussion