SecureML: A System for Scalable Privacy-Preserving …

eprint.iacr.org

orders of magnitude faster than the state of the art implementations for privacy preserving linear and logistic regressions, and scale to millions of data samples with thousands of features. We also implement the rst privacy preserving system for training neural networks. 1 Introduction

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