Statistical Disclosure Control: Where do we go from here?

Presenter(s): Natalie Shlomo, University of Manchester

e-mail(s): natalie.shlomo@manchester.ac.uk

Date: 10 March 2020


Webinar aims

The webinar aims to provide an overview of statistical disclosure (SDC) control from the perspective of the statistical agency. In recent years, we have seen the digitalization of all aspects of our society leading to new and linked data sources. Traditional SDC methods may no longer be sufficient and this has led to the opposite effect of statistical agencies restricting and licensing data as an SDC method. To meet the demands and challenges for disseminating more open and accessible data  statistical agencies have been investigating more rigorous data protection mechanisms to incorporate into their SDC toolkit. One such mechanism is Differential Privacy.


Webinar learning outcomes

  • To understanding the current context and approaches of Statistical Disclosure Control on traditional forms of statistical data dissemination

  • To understand the need to modernize dissemination approaches and new types of disclosure risks to consider

  • To become familiar with the definition of Differential Privacy and inferential disclosure

  • To consider new forms of data dissemination at statistical agencies


Webinar content

  • Statistical Disclosure Control from the statistical agency perspective

  • Traditional types of data dissemination: statistical disclosure control methods, disclosure risks and data utility

  • Disclosure risk-data utility paradigm

  • Inferential disclosure and Differential Privacy

  • New forms of data dissemination


Difficulty level

Introductory


Prerequisites for the webinar

Understanding of general survey methodology


Further reading and resources

Dwork, C. and Roth, A. (2014). The algorithmic foundations of differential privacy. Foundations and Trends in Theoretical Computer Science 9 (3-4) 211-407. https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf

Hundepool, A., Domingo-Ferrer, J., Franconi, L., Giessing, Schulte-Nordholt, E., Spicer, K. and De Wolf, P.P (2012) Statistical Disclosure Control. Wiley.

Rinott, Y., O’Keefe, C., Shlomo, N., and Skinner, C. (2018) Confidentiality and Differential Privacy in the Dissemination of Frequency Tables. Statistical Sciences, Vol. 33, No. 3 (2018), 358-385.

Shlomo, N., Antal, L. and Elliot, M. (2015) Measuring Disclosure Risk and Data Utility for Flexible Table Generators, Journal of Official Statistics, Vol. 31, Issue 2, 305-324.

Shlomo, N. and Skinner, C.J. (2012), Privacy Protection from Sampling and Perturbation in Survey Microdata, Journal of Privacy and Confidentiality, Vol. 4, Issue 1.

Shlomo, N. and Young, C. (2008) Invariant Post-tabular Protection of Census Frequency Counts. In PSD’2008 Privacy in Statistical Databases, (Eds. J. Domingo-Ferrer and Y. Saygin), Springer LNCS 5261, pp. 77-89.

Willenborg, L. and de Waal, T. (2001) Elements of Statistical Disclosure Control. New York: Springer.


Presentation material

Presentation Webinar Statistical Disclosure Control


Recording of the webinar

Recording Webinar Statistical Disclosure Control