• DOI:10.12720/jait.6.3.88-95
Corpus ID: 28181799

Privacy-Preserving Logistic Regression

@inproceedings{Samet2015PrivacyPreservingLR,
  title={Privacy-Preserving Logistic Regression},
  author={S. Samet},
  year={2015}
}

S. Samet

Published 2015

Logistic regression is an important statistical analysis methods widely used in research fields, including health, business and government. On the other hand preserving data privacy is a crucial aspect in every information system. Many privacy-preserving protocols have been proposed for different statistical techniques, with various data distributions, owners and users. In this paper, we propose a new method to securely compute logistic regression of data, privately shared among two or more… CONTINUE READING

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