Survey on Privacy-Preserving Techniques for Data Publishing. (arXiv:2201.08120v1 [cs.CR])

The exponential growth of collected, processed, and shared microdata has
given rise to concerns about individuals' privacy. As a result, laws and
regulations have emerged to control what organisations do with microdata and
how they protect it. Statistical Disclosure Control seeks to reduce the risk of
confidential information disclosure by de-identifying them. Such
de-identification is guaranteed through privacy-preserving techniques. However,
de-identified data usually results in loss of information, with a possible
impact on data analysis precision and model predictive performance. …

data privacy publishing survey