“From data points to identities: Assessing privacy vulnerabilities in empirical research datasets,” Bachelor's thesis or Master's thesis, L. Pietzschmann (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2025 –
Open.
Publishing datasets is a common practice in empirical research. However, the risk of de-anonymization of individuals in these datasets is a significant concern, especially when the data is highly sensitive. This thesis aims to investigate the presence of privacy related vulnerabilities in a large collection of datasets. The thesis will focus on quantifying the extent of vulnerabilities and attempt to categorize them into distinct types.
