PRIVACY-PRESERVING RIDGE REGRESSION USING PARTIALLY HOMOMORPHIC ENCRYPTION AND MASKS

摘要

A method and system for privacy-preserving ridge regression using partially homomorphic encryption and masks is provided. The method includes the steps of requesting a garbled circuit from a crypto service provider, collecting data from multiple users that has been formatted and encrypted using partially homomorphic encryption, summing the data that has been formatted and encrypted using partially homomorphic encryption, applying a prepared masks to the summed data, receiving garbled inputs corresponding to prepared mask from the crypto service provider using oblivious transfer, and evaluating the garbled circuit from the crypto service provider using the garbled inputs and masked data.