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20192026
most citedBAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference

32 citations · 37 across the 7 of their papers we have counts for

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Showing 2020Show all

1 paper · 1 filter

cs.AR2020★ 2 cited

Customizing Trusted AI Accelerators for Efficient Privacy-Preserving Machine Learning

Peichen Xie, Xuanle Ren, Guangyu Sun

The use of trusted hardware has become a promising solution to enable privacy-preserving machine learning. In particular, users can upload their private data and models to a hardwa…