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Simulating Homomorphic Evaluation of Deep Learning Predictions
neural networks homomorphic encryption TFHE
2019/5/31
Convolutional neural networks (CNNs) is a category of deep neural networks that are primarily used for classifying image data. Yet, their continuous gain in popularity poses important privacy concerns...
Chimera: a unified framework for B/FV, TFHE and HEAAN fully homomorphic encryption and predictions for deep learning
fully homomorphic encryption Ring-LWE neural network
2018/8/21
This work describes a common framework for scale-invariant families of fully homomorphic schemes based on Ring-LWE, unifying the plaintext space and the noise representation. This new formalization al...
Oblivious Neural Network Predictions via MiniONN transformations
privacy machine learning neural network predictions
2017/5/25
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 t...