#anonymization

#anonymization

Privacy models like k-anonymity are essential for ensuring safe data sharing in NLP while preserving individual privacy.

Linking private and public genetic data poses risks to research participants' health information privacy.

Single-cell data sets are not as secure as previously thought against privacy leaks.