Conference item

Framework of secret differential privacy on private data

Abstract:: Problem Statement Valuable data processing applications are deployed in cloud servers. This leaks the algorithm to the host, and the algorithm may leak information about the processed data.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Küçük, A., & Martin, A. (2017). Framework of secret differential privacy on private data.

MLA Style

Küçük, A, and A Martin. “Framework of Secret Differential Privacy on Private Data.” 2017.

Chicago Style

Küçük, A, and A Martin. 2017. “Framework of Secret Differential Privacy on Private Data.”
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Files:: ssg-oxfordv2.pdf

(Preview, Version of record, pdf, 167.3KB, Terms of use)

Authors

+ Küçük, A More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Computer Science
Role:: Author
ORCID:: 0000-0001-5484-7096

+ Martin, A More by this author

Institution:: University of Oxford
Division:: MPLS Division
Department:: Department of Computer Science
Role:: Author

Publisher:: Aalto University
Host title:: Secure Systems Annual Demo Day
Journal:: Secure Systems Annual Demo Day More from this journal
Publication date:: 2017-06-20

Keywords:: Trusted Computing

Property Based Attestation

SBTMR

Two way Sandboxing

Differential Privacy
Pubs id:: pubs:738173
UUID:: uuid:afaa9c13-8630-431d-862a-bf04bf4f4663
Local pid:: pubs:738173
Source identifiers:: 738173
Deposit date:: 2017-10-23
ARK identifier:: ark:/29072/ora_afaa9c138630431d862abf04bf4f4663

Terms of use

Copyright date:: 2017

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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