Anonymization Task

An Anonymization Task is a data processing task that requires that some Privacy Measure be preserved for Published Data.

• AKA: Anonymization, Data Anonymization, Data De-Identification.
• Context:
  • output: Anonymized Dataset.
• See: Anonymization Algorithm, Privacy Preserving Task.

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References

• http://en.wikipedia.org/wiki/Anonymity#Means_of_obtaining_anonymity

2005

• (Bayardo & Agrawal, 2005) ⇒ Roberto J. Bayardo, and Rakesh Agrawal. (2005). “Data Privacy through Optimal k-Anonymization.” In: Proceedings of the 21st International Conference on Data Engineering (ICDE 2005) doi:10.1109/ICDE.2005.42

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