Matyoqubov Og'abek

Vulnerability Analysis of Privacy-Preserving Algorithms in Multidimensional Medical and Nutritional Databases

This paper analyzes the vulnerabilities of privacy-preserving algorithms applied to multidimensional medical and nutritional databases. Syntactic anonymization models (k-anonymity, l-diversity, t-closeness), differential privacy and federated learning are compared. It is shown that each of them is exposed to specific a...