View source for Statistical Disclosure Control

==Presentations==
* [http://washingtonstatisticalsociety.org/presentations/20150421/wisniewski_21apr15.pdf Disclosure Avoidance Methods and Research at the U. S. Census Bureau], Billy Wisniewski, Amy Lauger, and Laura McKenna, Center for Disclosure Avoidance, Research (CDAR), U.S. Census Bureau, April 21, 2015

* [http://washingtonstatisticalsociety.org/presentations/20150421/wang_21apr15.pdf eConfidentiality - a Disclosure Avoidance Application System (Proposed)], Bei Wang, U.S. Census Bureau, April 21, 2015

==Papers==

===US Census Bureau===
*   [http://www.census.gov/srd/papers/pdf/rrs2007-21.pdf “Examples of Easy-to-implement, Widely Used Masking Methods for which Analytic Properties are not Justified,”]  Winkler, W. E. (2007b), 
* [https://www.census.gov/srd/CDAR/cdar2014-02_Discl_Avoid_Techniques.pdf Disclosure Avoidance Techniques at the U.S. Census Bureau: Current Practices and Research], Amy Lauger, Billy Wisniewski, and Laura McKenna, Center for Disclosure Avoidance Research, RESEARCH REPORT SERIES #2014-02, U.S. Census Bureau, September 26, 2014.
* [https://www.census.gov/srd/CDAR/rrs2005-06_DisclAvoid_Practices.pdf Disclosure Avoidance Practices and Research at the U.S. Census Bureau: An Update], Laura Zayatz, Statistical Research Division, RESEARCH REPORT SERIES, (Statistics #2005-06), Revised August 31, 2005
* [http://www.census.gov/econ/census/help/methodology_disclosure/disclosure.html Disclosure], U.S. Census Bureau Economic Census website, Last Revised: March 05, 2015
* [https://www.census.gov/srd/papers/pdf/rrs2009-10.pdf Disclosure Avoidance for Census 2010 and American Community Survey Five-year Tabular Data Products ], Laura Zayatz, Jason Lucero, Paul Massell, Asoka Ramanayake, RESEARCH REPORT SERIES (Statistics #2009-10) , November 23, 2009
* [https://www.census.gov/history/pdf/ConfidentialityMonograph.pdf A Monograph on Confidentiality and Privacy in the U.S. Census],  George Gatewood, US Census Policy Office, July 2001.
* [https://fcsm.sites.usa.gov/files/2014/05/E3_Massell_2013FCSM.pdf A Disclosure Avoidance Research Agenda], Paul B. Massell, Center for Disclosure Avoidance Research, U.S. Census Bureau, May 2014.
*   Winkler, W. E. (2008), “General Discrete-data Modeling Methods for Producing Synthetic Data with Reduced Re-identification Risk that Preserve Analytic Properties,” IAB Workshop on Confidentiality and Disclosure, http://fdz.iab.de/en/FDZ_Events/SDC-Workshop.aspx, Nuremberg, Germany, November 20-21, 2008 (also http://www.census.gov/srd/papers/pdf /rrs2010-02 ).
*   Winkler, W. E. (2010), “General Discrete-data Modeling Methods for Creating Synthetic Data with Reduce Re-identification Risk that Preserve Analytic Properties,” http://www.census.gov/srd/papers/pdf/rrs2010-02.pdf .
*   Winkler, W.E. (2013c), Cleanup and Analysis of Sets of National Files, Federal Committee on Statistical Methodology, Proceedings of the Bi-Annual Research Conference, http://www.copafs.org/UserFiles/file/fcsm/J1_Winkler_2013FCSM.pdf.,  https://fcsm.sites.usa.gov/files/2014/05/J1_Winkler_2013FCSM.pdf

===Review Articles===
* Fienberg, Stephen, "Confidentiality and Disclosure Limitation," Encyclopedia of Social Measurement, Volume 1, 2005.  '''A good overview article about statistical disclosure limitation, not too much math. No mention of differential privacy, of course.'''
===Critiques===
Many contemporary statistical disclosure control techniques, such as generalization and cell suppression, have been shown to be vulnerable to attack by a hypothetical data intruder. For example, Cox showed in 2009 that Complementary cell suppression typically leads to "over-protected" solutions because of the need to suppress both primary and complementary cells, and even then can lead to the compromise of sensitive data when exact intervals are reported.<ref>Lawrence H. Cox, Vulnerability of Complementary Cell Suppression to Intruder Attack, Journal of Privacy and Confidentiality (2009) 1, Number 2, pp. 235–251 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1017</ref>