2 papers
cs.LG2026
Learning from Anonymized and Incomplete Tabular Data
Lucas Lange, Adrian Böttinger, Victor Christen +3
User-driven privacy allows individuals to control whether and at what granularity their data is shared, leading to datasets that mix original, generalized, and missing values withi…
cs.CR2025
Information Leakage in Data Linkage
Peter Christen, Rainer Schnell, Anushka Vidanage
The process of linking databases that contain sensitive information about individuals across organisations is an increasingly common requirement in the health and social science re…