Combining Blanking and Noise Addition as a Data Disclosure Limitation Method

2006 ◽  
Author(s):  
Anton Flossmann ◽  
Sandra Nolte (Lechner)
2014 ◽  
Vol 30 (4) ◽  
pp. 839-857 ◽  
Author(s):  
Daniell Toth

Abstract Statistical agencies often collect sensitive data for release to the public at aggregated levels in the form of tables. To protect confidential data, some cells are suppressed in the publicly released data. One problem with this method is that many cells of interest must be suppressed in order to protect a much smaller number of sensitive cells. Another problem is that the covariates used to aggregate and level of aggregation must be fixed before the data is released. Both of these restrictions can severely limit the utility of the data. We propose a new disclosure limitation method that replaces the full set of microdata with synthetic data for use in producing released data in tabular form. This synthetic data set is obtained by replacing each unit’s values with a weighted average of sampled values from the surrounding area. The synthetic data is produced in a way to give asymptotically unbiased estimates for aggregate cells as the number of units in the cell increases. The method is applied to the U.S. Bureau of Labor Statistics Quarterly Census of Employment and Wages data, which is released to the public quarterly in tabular form and aggregated across varying scales of time, area, and economic sector.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Lars Vilhuber

This issue is the first to appear after a longer intermission. We have replatformed the journal, but we continue the original mission of publishing innovative materials from many disciplines in the areas of privacy, confidentiality, and disclosure limitation. 


2019 ◽  
Vol 10 (1) ◽  
pp. 204-213 ◽  
Author(s):  
Haibo Zhang ◽  
Francois Gruson ◽  
Diana M. Florez Rodriguez ◽  
Christophe Saudemont

2003 ◽  
pp. 94-119 ◽  
Author(s):  
George T. Duncan ◽  
Stephen F. Roehrig

Government agencies collect and disseminate data that bear on the most important issues of public interest. Advances in information technology, particularly the Internet, have multiplied the tension between demands for evermore comprehensive databases and demands for the shelter of privacy. In mediating between these two conflicting demands, agencies must address a host of difficult problems. These include providing access to information while protecting confidentiality, coping with health information databases, and ensuring consistency with international standards. The policies of agencies are determined by what is right for them to do, what works for them, and what they are required to do by law. They must interpret and respect the ethical imperatives of democratic accountability, constitutional empowerment, and individual autonomy. They must keep pace with technological developments by developing effective measures for making information available to a broad range of users. They must both abide by the mandates of legislation and participate in the process of developing new legislation that is responsive to changes that affect their domain. In managing confidentiality and data access functions, agencies have two basic tools: techniques for disclosure limitation through restricted data and administrative procedures through restricted access. The technical procedures for disclosure limitation involve a range of mathematical and statistical tools. The administrative procedures can be implemented through a variety of institutional mechanisms, ranging from privacy advocates, through internal privacy review boards, to a data and access protection commission.


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