Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 223,670,453 papers from all fields of science
Search
Sign In
Create Free Account
Statistical disclosure control
Statistical Disclosure Control (SDC) is a technique used in data-driven research to ensure no person or organisation is identifiable from the results…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
4 relations
Data anonymization
De-anonymization
De-identification
Broader (1)
Privacy
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The future of statistical disclosure control
M. Elliot
,
J. Domingo-Ferrer
arXiv.org
2018
Corpus ID: 56657867
Statistical disclosure control (SDC) was not created in a single seminal paper nor following the invention of a new mathematical…
Expand
2017
2017
Data privacy preserving scheme using generalised linear models
Min Cherng Lee
,
R. Mitra
,
E. Lazaridis
,
A. Lai
,
Y. K. Goh
,
W. Yap
Computers & security
2017
Corpus ID: 38636322
2010
2010
Measurement Error and Statistical Disclosure Control
N. Shlomo
Privacy in Statistical Databases
2010
Corpus ID: 33802140
Statistical agencies release microdata to researchers after applying statistical disclosure control (SDC) methods. Noise addition…
Expand
2010
2010
Practical Applications in Statistical Disclosure Control Using R
Mathias Templ
,
Bernhard Meindl
2010
Corpus ID: 61514590
The aim is to show how statistical disclosure methods can be applied to data using the R-packages sdcMicro and sdcTable.
2006
2006
Statistical disclosure control using post randomisation: Variants and Measures for Disclosure Risk
A. Hout
,
E. Elamir
2006
Corpus ID: 55237900
This paper discusses the post randomisation method (PRAM) as a method for disclosure control. PRAM protects the privacy of…
Expand
2003
2003
APPLICATIONS OF STATISTICAL DISCLOSURE CONTROL METHODS
Eric Schulte Nordholt
2003
Corpus ID: 167170495
The specification discloses a vehicle cabin temperature control including a thermostat and a power circuit responsive thereto for…
Expand
Highly Cited
2001
Highly Cited
2001
Solving the Cell Suppression Problem on Tabular Data with Linear Constraints
M. Fischetti
,
Juan José SALAZAR-GONZÁLEZ
Management Sciences
2001
Corpus ID: 2375555
Cell suppression is a widely used technique for protecting sensitive information in statistical data presented in tabular form…
Expand
Highly Cited
1999
Highly Cited
1999
Models and algorithms for the 2-dimensional cell suppression problem in statistical disclosure control
M. Fischetti
,
Juan José SALAZAR-GONZÁLEZ
Mathematical programming
1999
Corpus ID: 11389107
We study the problem of protecting sensitive data in a statistical two-dimensional table, when the non-sensitive table entries…
Expand
1998
1998
ARGUS, Software Packages for Statistical Disclosure Control
A. Hundepool
,
L. Willenborg
International Conference on Computational…
1998
Corpus ID: 61248472
The paper describes two related software packages for producing safe data: µ-ARGUS for microdata and τ-ARGUS for tabular data.
Review
1996
Review
1996
Introduction to Statistical Disclosure Control
L. Willenborg
,
T. Waal
1996
Corpus ID: 167051293
Statistical offices basically release two kinds of data, namely tabular data and microdata. Tabular data are the traditional…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE