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TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service

Abstract:

Machine learning methods are widely used for a variety of prediction problems. Prediction as a service is a paradigm in which service providers with technological expertise and computational resources may perform predictions for clients. However, data privacy severely restricts the applicability of such services, unless measures to keep client data private (even from the service provider) are designed. Equally important is to minimize the nature of computation and amount of communication requ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Funding agency for:
Kanade, V
Grant:
EP/N510129/1
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Funding agency for:
Sanyal, A
Grant:
TU/C/000023
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Funding agency for:
Kusner, M
Grant:
EP/N510129/1
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Funding agency for:
Gascon, A
Grant:
EP/N510129/1
Publisher:
Proceedings of Machine Learning Research Publisher's website
Journal:
International Conference on Machine Learning Journal website
Volume:
80
Pages:
4490-4499
Series:
Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, Tuesday July 10 -- Sunday July 15, 2018
Host title:
Proceedings of Machine Learning Research
Publication date:
2018-08-20
Acceptance date:
2018-05-11
ISSN:
1938-7228
Source identifiers:
847350
Pubs id:
pubs:847350
UUID:
uuid:6bc9b7a2-0dfb-442e-be8d-dfae9b76f113
Local pid:
pubs:847350
Deposit date:
2018-07-05

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