Presenter(s): Natalie Shlomo, University of Manchester
Date: 10 March 2020
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
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
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.
Recording of the webinar