58 citations · 228 across the 22 of their papers we have counts for
Showing 2015Show all
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stat.ML2015★ 52 cited
Encrypted statistical machine learning: new privacy preserving methods
Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes
We present two new statistical machine learning methods designed to learn on fully homomorphic encrypted (FHE) data. The introduction of FHE schemes following Gentry (2009) opens u…
stat.ML2015★ 58 cited
A review of homomorphic encryption and software tools for encrypted statistical machine learning
Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes
Recent advances in cryptography promise to enable secure statistical computation on encrypted data, whereby a limited set of operations can be carried out without the need to first…