Martin Franke

Presentation
Scalable, secure and reliable PPRL solutions with PRIMAT


Privacy-preserving record linkage (PPRL) is increasingly demanded in real-world applications, e.g., in the health-care domain, to combine person-related data for data analysis while preserving the privacy of individuals. However, the adoption of PPRL is hampered by the absence of easy-to-use and powerful PPRL tools covering the entire PPRL process. In this talk, we present PRIMAT, an open-source toolbox to ease the definition and execution of tailored PPRL workflows. In this context, we outline scalable and secure linkage protocols as well as approaches that aim at high linkage quality outcome. Finally, we discuss open challenges and research directions.

Portrait of Martin Franke

Martin Franke

PhD Student

University of Leipzig, Germany

franke@informatik.uni-leipzig.de

Bio

  • Since 05/2017 – Researcher / Ph.D. student at Leipzig University
  • 2017 – M. Sc. Computer Science, Leipzig University
  • 2014 – B. Sc. Computer Science, University of Jena

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz