Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
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Updated
Feb 3, 2021 - C++
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
Repo for Mphasis PPML Research Project
Extension of the MOTION2NX framework to implement neural network inferencing task where the data is supplied to the “secure compute servers” by the “data providers”.
A C++-based framework for privacy-preserving machine learning using HE and TEE
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