Statistical Disclosure Control

By A. Hundepool, Josep Domingo-Ferrer, L. Franconi, Sarah Giessing, Eric Schulte Nordholt, K. Spicer, P. D. Wolf. 2012

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Privacy and Data Protection by Design - from policy to engineering (2014, background): “html 26 We note that the notion of a privacy design strategy should not be confused with the foundational principles of Cavoukian [57] or the concept of a privacy principle from the ISO 29100 Privacy framework [122].”
Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data (2017, unknown): “This could be achieved by modifying the data to preserve degrees of anonymity (using techniques such as statistical disclosure control (Hundepool et al., 2012; Willenborg and de Waal, 2012), and privacy-preserving data mining (Agrawal and Srikant, 2000), which allow the statistical properties of…”
The pursuit of citizens' privacy: a privacy-aware smart city is possible (2013, background): “Many techniques have been proposed to protect respondents' privacy (noise addition, microaggregation , rank swapping, rounding, etc.) [7].”
Anti-discrimination Analysis Using Privacy Attack Strategies (2014, unknown): “A detailed description of different PPDM and SDC methods can be found in [1, 5, 8].”