Loading...
Loading...

Go to the content (press return)

A second order cone formulation of continuous CTA model

Author
Lesaja, G.; Castro, J.; Oganian, A.
Type of activity
Presentation of work at congresses
Name of edition
PSD 21016 - Privacy in Statistical Databases
Date of publication
2016
Presentation's date
2016-09-16
Book of congress proceedings
Privacy in Statistical Databases - LNCS 9867
First page
41
Last page
53
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-319-45381-1_4 Open in new window
Project funding
Very large-scale optimization: methods and applications
Repository
http://hdl.handle.net/2117/103229 Open in new window
URL
http://link.springer.com/chapter/10.1007/978-3-319-45381-1_4 Open in new window
Abstract
In this paper we consider a minimum distance Controlled Tabular Adjustment (CTA) model for statistical disclosure limitation (control) of tabular data. The goal of the CTA model is to find the closest safe table to some original tabular data set that contains sensitive information. The measure of closeness is usually measured using l1 or l2 norm; with each measure having its advantages and disadvantages. Recently, in [4] a regularization of the l1 -CTA using Pseudo-Huber func- tion was introduce...
Citation
Lesaja, G., Castro, J., Oganian, A. A second order cone formulation of continuous CTA model. A: Privacy in Statistical Databases. "Privacy in Statistical Databases - LNCS 9867". Dubrovnik: Springer, 2016, p. 41-53.
Keywords
Statistical disclosure limitation (control), controlled tabular adjustment models, convex optimization, interior-point methods, pseudo-Huber function, second-order cone optimization
Group of research
GNOM - Mathematical Optimization Group

Participants

  • Lesaja, Goran  (author and speaker )
  • Castro Perez, Jordi  (author and speaker )
  • Oganian, Anna  (author and speaker )

Attachments