Oblivious Neural Network Predictions via MiniONN Transformations

Jian Liu, Mika Juuti, Yao Lu, N. Asokan · 2017

Machine learning models hosted in a cloud service are increasingly popular but risk privacy: clients sending prediction requests to the service need to disclose potentially sensitive information. In this paper, we explore the problem of privacy-preserving predictions: after each prediction, the server learns nothing about clients' input and clients learn nothing about the model.

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