SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially Private Histogram Publication
Artikel i vetenskaplig tidskrift, 2020
Such a strong notion of privacy is differential privacy, a statistical notion of privacy that makes privacy leakage quantifiable. The caveat regarding differential privacy is that while it has strong guarantees for privacy, privacy comes at a cost of accuracy. Despite this trade-off being a central and important issue in the adoption of differential privacy, there exists a gap in the literature regarding providing an understanding of the trade-off and how to address it appropriately.
Through a systematic literature review (SLR), we investigate the state-of-the-art within accuracy improving differentially private algorithms for histogram and synthetic data publishing. Our contribution is two-fold: 1) we identify trends and connections in the contributions to the field of differential privacy for histograms and synthetic data and 2) we provide an understanding of the privacy/accuracy trade-off challenge by crystallizing different dimensions to accuracy improvement. Accordingly, we position and visualize the ideas in relation to each other and external work, and deconstruct each algorithm to examine the building blocks separately with the aim of pinpointing which dimension of accuracy improvement each technique/approach is targeting. Hence, this systematization of knowledge (SoK) provides an understanding of in which dimensions and how accuracy improvement can be pursued without sacrificing privacy.
synthetic data
accuracy improvement
error reduction
systematic literature review
utility improvement
taxonomy
data privacy
sensitivity reduction
SoK
SLR
systematization of knowledge
differential privacy
noise reduction
dimensionality reduction
histogram
Författare
Boel Nelson
Chalmers, Data- och informationsteknik, Informationssäkerhet
Jenni Reuben
Karlstads universitet
Transactions on Data Privacy
1888-5063 (ISSN) 2013-1631 (eISSN)
Vol. 13 3 201-245WebSec: Säkerhet i webb-drivna system
Stiftelsen för Strategisk forskning (SSF) (RIT17-0011), 2018-03-01 -- 2023-02-28.
Ämneskategorier
Annan data- och informationsvetenskap
Datavetenskap (datalogi)
Styrkeområden
Informations- och kommunikationsteknik