Privacy-Preserving 3-Layer Neural Network Training
Fuente:
arXiv
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| Main Author: | |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866915242093576192 |
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| author | Chiang, John |
| author_facet | Chiang, John |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_09531 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Privacy-Preserving 3-Layer Neural Network Training Chiang, John Cryptography and Security Machine Learning 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. |
| title | Privacy-Preserving 3-Layer Neural Network Training |
| topic | Cryptography and Security Machine Learning |
| url | https://arxiv.org/abs/2308.09531 |