Non-interactive privacy-preserving neural network prediction

Volume: 481, Pages: 507 - 519
Published: May 1, 2019
Abstract
Neural network is a particular machine learning framework which has gained widespread popularity due to its superior performance in many applications, such as complex board games, face recognition and disease diagnosis. A new service paradigm which offers online neural-network-based prediction to clients is increasingly popular. Although the prediction service has clear benefits, serious privacy issues have also emerged from the clients’...
Paper Details
Title
Non-interactive privacy-preserving neural network prediction
Published Date
May 1, 2019
Volume
481
Pages
507 - 519
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