Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A review of homomorphic encryption and software tools for encrypted
  statistical machine learning   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 decrypt. We review these homomorphic
encryption schemes in a manner accessible to statisticians and machine
learners, focusing on pertinent limitations inherent in the current state of
the art. These limitations restrict the kind of statistics and machine learning
algorithms which can be implemented and we review those which have been
successfully applied in the literature. Finally, we document a high performance
R package implementing a recent homomorphic scheme in a general framework.

9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas