3 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.CR2024
Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
Florens Rohde, Victor Christen, Martin Franke +1
Privacy-Preserving Record linkage (PPRL) is an essential component in data integration tasks of sensitive information. The linkage quality determines the usability of combined data…
cs.DB2024
Efficient Model Repository for Entity Resolution: Construction, Search, and Integration
Victor Christen, Peter Christen
Entity resolution (ER) is a fundamental task in data integration that enables insights from heterogeneous data sources. The primary challenge of ER lies in classifying record pairs…