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A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning

Crossref DOI link: https://doi.org/10.1007/s12559-018-9604-7

Published Online: 2018-11-12

Published Print: 2019-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Miche, Yoan https://orcid.org/0000-0001-8864-2312
Ren, Wei

Oliver, Ian

Holtmanns, Silke

Lendasse, Amaury
Funding

Funding for this research was provided by:

ECSEL (737422)
License Information

Text and Data Mining valid from 2018-11-12
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Article History

Received: 1 November 2017

Accepted: 10 October 2018

First Online: 12 November 2018

Compliance with Ethical Standards

:

: The authors declare that they have no conflicts of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.