# Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/secure-logistic-regression-based-on-homomorphic-encryption-design-and-evaluation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Miran Kim,Yongsoo Song,Shuang Wang,Yuhou Xia,Xiaoqian Jiang |
| Citations | 248 |
| DOI | 10.2196/medinform.8805 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://medinform.jmir.org/2018/2/e19/PDF |
| OpenAlex ID | https://openalex.org/W2801958627 |
| PMID | 29666041 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Shuang Wang](https://scholariq.org/researchers/shuang-wang/)

## Paper primary topic

- [Cryptography and Data Security](https://scholariq.org/topics/cryptography-and-data-security/)

## Paper topics

- [Cryptography and Data Security](https://scholariq.org/topics/cryptography-and-data-security/)
- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)
- [Stochastic Gradient Optimization Techniques](https://scholariq.org/topics/stochastic-gradient-optimization-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.