Choosing the Right Technique

• contextual factors are important (callback to contextual integrity
  • sampling strategy (Guo et al. 2025): can diminish risks (e.g., random sampling in whole population) or heighten them (e.g., all first-year students of one subject at one university)
  • release type of data (Benschop and Welch, n.d.): only partial access for very risky data

Determine relevant risk factors for making that decision

Create some kind of decision tree/checklist to choose techniques

Learning Objective

• After completing this part of the tutorial, you will be able to choose a suitable technique based on your data.

Exercises

• Give short examples of datasets from various contexts and ask for the best anonymization strategy

Resources, Links, Examples

References

Benschop, Thijs, and Matthew Welch. n.d. “Statistical Disclosure Control for Microdata: A Practice Guide for sdcMicro.” https://sdcpractice.readthedocs.io/en/latest/index.html.

Guo, Wentao, Paige Pepitone, Adam J Aviv, and Michelle L Mazurek. 2025. “USENIX Security Symposium.” In. Seattle, WA, USA. https://www.usenix.org/system/files/usenixsecurity25-guo-wentao.pdf.