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Algorithms that remember: model inversion attacks and data protection law

Abstract:

Many individuals are concerned about the governance of machine learning systems and the prevention of algorithmic harms. The EU's recent General Data Protection Regulation (GDPR) has been seen as a core tool for achieving better governance of this area. While the GDPR does apply to the use of models in some limited situations, most of its provisions relate to the governance of personal data, while models have traditionally been seen as intellectual property. We present recent work from the in...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsta.2018.0083

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0002-8272-5667
More from this funder
Funding agency for:
Binns, R
Grant:
EP/J017728/2
Publisher:
Royal Society Publisher's website
Journal:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Journal website
Volume:
376
Issue:
2133
Article number:
20180083
Publication date:
2018-10-15
Acceptance date:
2018-07-12
DOI:
EISSN:
1471-2962
ISSN:
1364-503X
Source identifiers:
935375
Keywords:
Pubs id:
pubs:935375
UUID:
uuid:461fa4e2-226d-4341-99ba-3640f0bd38d8
Local pid:
pubs:935375
Deposit date:
2018-11-15

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