Conference item icon

Conference item

Exploring design and governance challenges in the development of privacy-preserving computation

Abstract:

Homomorphic encryption, secure multi-party computation, and differential privacy are part of an emerging class of Privacy Enhancing Technologies which share a common promise: to preserve privacy whilst also obtaining the benefits of computational analysis. Due to their relative novelty, complexity, and opacity, these technologies provoke a variety of novel questions for design and governance. We interviewed researchers, developers, industry leaders, policymakers, and designers involved in the...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1145/3411764.3445677

Authors


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
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
Publisher:
Association for Computing Machinery
Host title:
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Article number:
68
Publication date:
2021-05-06
Acceptance date:
2021-01-20
Event title:
ACM CHI Conference on Human Factors in Computing Systems (CHI 21)
Event location:
Online Virtual Conference (originally Yokohama, Japan)
Event website:
http://chi2021.acm.org/
Event start date:
2021-05-08
Event end date:
2021-05-13
DOI:
ISBN:
9781450380966
Language:
English
Keywords:
Pubs id:
1157545
Local pid:
pubs:1157545
Deposit date:
2021-01-20

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP