Homogeneity attacks are a type of privacy attack where an adversary uses the uniformity within a subset of data to identify sensitive information about individuals. In the context of epidemiology, these attacks exploit the fact that certain data subsets may have little variation, allowing attackers to infer individual attributes even if the data is anonymized.
