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Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation
BACKGROUND: Learning a model without accessing raw data has been an intriguing idea to security and machine learning researchers for years. In an ideal setting, we want to encrypt sensitive data to store them on a commercial cloud and run certain analyses without ever decrypting the data to preserve...
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| Publicado no: | JMIR Med Inform |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
JMIR Publications
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5930176/ https://ncbi.nlm.nih.gov/pubmed/29666041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/medinform.8805 |
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