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Biometric backdoors: a poisoning attack against unsupervised template updating

Abstract:

In this work, we investigate the concept of biometric backdoors: a template poisoning attack on biometric systems that allows adversaries to stealthily and effortlessly impersonate users in the long-term by exploiting the template update procedure. We show that such attacks can be carried out even by attackers with physical limitations (no digital access to the sensor) and zero knowledge of training data (they know neither decision boundaries nor user template). Based on the adversaries' own ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/EuroSP48549.2020.00020

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0003-2340-3040
Publisher:
Institute of Electrical and Electronics Engineers
Host title:
2020 IEEE European Symposium on Security and Privacy (EuroS&P)
Pages:
184-197
Publication date:
2020-11-02
Acceptance date:
2020-06-01
Event title:
5th IEEE European Symposium on Security and Privacy
Event location:
Genova, Italy
Event website:
http://www.ieee-security.org/TC/EuroSP2020/
Event start date:
2020-09-07
Event end date:
2020-09-11
DOI:
EISBN:
9781728150871
ISBN:
9781728150888
Language:
English
Keywords:
Pubs id:
1108701
Local pid:
pubs:1108701
Deposit date:
2020-06-03

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