Anonymization

Differential Privacy

The industry standard for anonymizing data. E.g. it is used by the US Census Bureau for US census.

K-anonymity

Weaknesses:

• vulnerable to attackers with knowledge of the dataset or who can fake data into the dataset
• not robust when the same dataset is released multiple times or when the dataset is too homogeneous.
• easy to be applied incorrectly, e.g. counting events instead of unique users