Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Privacy-Preserving Machine Learning Scheme Using EtC Images   We propose a privacy-preserving machine learning scheme with
encryption-then-compression (EtC) images, where EtC images are images encrypted
by using a block-based encryption method proposed for EtC systems with JPEG
compression. In this paper, a novel property of EtC images is first discussed,
although EtC ones was already shown to be compressible as a property. The novel
property allows us to directly apply EtC images to machine learning algorithms
non-specialized for computing encrypted data. In addition, the proposed scheme
is demonstrated to provide no degradation in the performance of some typical
machine learning algorithms including the support vector machine algorithm with
kernel trick and random forests under the use of z-score normalization. A
number of facial recognition experiments with are carried out to confirm the
effectiveness of the proposed scheme.

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The categories of this paper are: cond-mat
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The categories of this paper are: chao-dyn
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The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: eess
12
The categories of this paper are: nucl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: supr-con
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg