Privacy-preserving cnn training with transfer learning
J Chiang - arXiv preprint arXiv:2304.03807, 2023 - arxiv.org
In this paper, we present a practical solution to implement privacy-preserving CNN training
based on mere Homomorphic Encryption (HE) technique. To our best knowledge, this is the …
based on mere Homomorphic Encryption (HE) technique. To our best knowledge, this is the …
Homomorphic encryption for machine learning and artificial intelligence applications
D Arnold, J Saniie, A Heifetz - 2022 - osti.gov
Third-party and expert analysis is a cost-effective solution for solving specialized problems
or processing large datasets related to reactor structural health monitoring and …
or processing large datasets related to reactor structural health monitoring and …
Privacy-Preserving 3-Layer Neural Network Training using Mere Homomorphic Encryption Technique
J Chiang - arXiv preprint arXiv:2308.09531, 2023 - arxiv.org
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 …
in the mere homomorphic encryption setting. We combine several exsiting techniques …
[PDF][PDF] Homomorphic Encryption Friendly Multi-GAT for Information Extraction in Business Documents.
D Belhadj, Y Belaïd, A Belaïd - ICPRAM, 2024 - scitepress.org
This paper presents a homomorphic encryption (HE) system to extract information from
business documents. We propose a structured method to replace the nonlinear activation …
business documents. We propose a structured method to replace the nonlinear activation …