Secret Sharing based Secure Regressions with Applications

Understand

Nowadays, the utilization of the ever expanding amount of data has made a huge impact on web technologies while also causing various types of security concerns.

• On one hand, potential gains are highly anticipated if different organizations could somehow collaboratively share their data for technological improvements.
• On the other hand, data security concerns may arise for both data holders and data providers due to commercial or sociological concerns.
• To make a balance between technical improvements and security limitations, we implement secure and scalable protocols for multiple data holders to train linear regression and logistic regression models.