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Blind justice : fairness with encrypted sensitive attributes

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Kilbertus, Niki, Gascon, Adrià, Kusner, Matt, Veale, Michael, Gummadi , Krishna P. and Weller, Adrian (2018) Blind justice : fairness with encrypted sensitive attributes. In: 35th International Conference on Machine Learning, ICML 2018, Stockholm, Sweden, 10-15 Jul 2018. Published in: Proceedings of the 35th International Conference on Machine Learning, 80 pp. 2630-2639. ISSN 1938-7228.

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Official URL: http://proceedings.mlr.press/v80/kilbertus18a.html

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Abstract

Recent work has explored how to train machine learning models which do not discriminate against any subgroup of the population as determined by sensitive attributes such as gender or race. To avoid disparate treatment, sensitive attributes should not be considered. On the other hand, in order to avoid disparate impact, sensitive attributes must be examined, e.g., in order to learn a fair model, or to check if a given model is fair. We introduce methods from secure multi-party computation which allow us to avoid both. By encrypting sensitive attributes, we show how an outcome-based fair model may be learned, checked, or have its outputs verified and held to account, without users revealing their sensitive attributes.

Item Type: Conference Item (Paper)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Machine learning, Data protection, Computer security , Cryptography
Journal or Publication Title: Proceedings of the 35th International Conference on Machine Learning
Publisher: PMLR
ISSN: 1938-7228
Official Date: July 2018
Dates:
DateEvent
July 2018Published
7 June 2018Accepted
Volume: 80
Page Range: pp. 2630-2639
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 28 May 2019
Date of first compliant Open Access: 28 May 2019
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/N510129/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/M507970/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
UNSPECIFIEDDarwin College, University of Cambridgehttp://dx.doi.org/10.13039/501100000595
EP/N510129[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
TU/B/000074[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
UNSPECIFIEDLeverhulme Trusthttp://dx.doi.org/10.13039/501100000275
Conference Paper Type: Paper
Title of Event: 35th International Conference on Machine Learning, ICML 2018
Type of Event: Conference
Location of Event: Stockholm, Sweden
Date(s) of Event: 10-15 Jul 2018
Open Access Version:
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