k-anonymity is an attempt to solve the problem "Given person-specific field-structured data, produce a release of the data with scientific guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful."
One serious problem with that approach is that no matter how well you k-anonymise your data set, someone else's dataset may deanonymise yours.
https://en.wikipedia.org/wiki/K-anonymity
k-anonymity is an attempt to solve the problem "Given person-specific field-structured data, produce a release of the data with scientific guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful."
One serious problem with that approach is that no matter how well you k-anonymise your data set, someone else's dataset may deanonymise yours.