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BLAZE: Blazing Fast Privacy-Preserving Machine Learning
[article]
2020
arXiv
pre-print
Machine learning tools have illustrated their potential in many significant sectors such as healthcare and finance, to aide in deriving useful inferences. The sensitive and confidential nature of the data, in such sectors, raise natural concerns for the privacy of data. This motivated the area of Privacy-preserving Machine Learning (PPML) where privacy of the data is guaranteed. Typically, ML techniques require large computing power, which leads clients with limited infrastructure to rely on
arXiv:2005.09042v1
fatcat:mk2pzykomjbenp7dxikn3les74