Policing functions for machine learning systems
Policing functions for machine learning systems
Machine learning (ML) systems typically involve complex decision making mechanisms while lack clear and concise specifications. Demonstrating the quality of ML systems therefore is a challenging task. We propose an approach combining formal methods and metamorphic testing for improving the quality of ML systems. In particular, our framework enables the possibility of developing policing functions for runtime monitoring ML systems based on metamorphic relations.
Hoang, Thai Son
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Sato, Naoto
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Myosin, Tomoyuki
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Butler, Michael
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Nakagawa, Yuichiroh
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Ogawa, Hideto
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Hoang, Thai Son
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Sato, Naoto
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Myosin, Tomoyuki
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Butler, Michael
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Nakagawa, Yuichiroh
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Ogawa, Hideto
ecd9a161-8657-49ea-b5fc-5c7de1efae2c
Hoang, Thai Son, Sato, Naoto, Myosin, Tomoyuki, Butler, Michael, Nakagawa, Yuichiroh and Ogawa, Hideto
(2018)
Policing functions for machine learning systems.
Workshop on Verification and Validation of Autonomous Systems: Satellite Workshop of Floc 2018, University of Oxford, Oxford, United Kingdom.
18 - 19 Jul 2018.
10 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Machine learning (ML) systems typically involve complex decision making mechanisms while lack clear and concise specifications. Demonstrating the quality of ML systems therefore is a challenging task. We propose an approach combining formal methods and metamorphic testing for improving the quality of ML systems. In particular, our framework enables the possibility of developing policing functions for runtime monitoring ML systems based on metamorphic relations.
Text
Pol Func MMT
- Accepted Manuscript
More information
Accepted/In Press date: 24 May 2018
Venue - Dates:
Workshop on Verification and Validation of Autonomous Systems: Satellite Workshop of Floc 2018, University of Oxford, Oxford, United Kingdom, 2018-07-18 - 2018-07-19
Identifiers
Local EPrints ID: 421233
URI: http://eprints.soton.ac.uk/id/eprint/421233
PURE UUID: 071c518b-3231-4c5c-9592-4dd3cb05cbdc
Catalogue record
Date deposited: 25 May 2018 16:30
Last modified: 16 Mar 2024 04:22
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Contributors
Author:
Thai Son Hoang
Author:
Naoto Sato
Author:
Tomoyuki Myosin
Author:
Michael Butler
Author:
Yuichiroh Nakagawa
Author:
Hideto Ogawa
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