Contact

• E-Mail: franke [at] informatik.uni-leipzig.de
• Office: Room P-412, Paulinum, Augustusplatz 10, 04109, Leipzig
• Phone: +49 341 - 97 32225

Research

• Privacy-preserving Record Linkage (PPRL) for Big Data

Publications

Franke, M.; Sehili, Z.; Rahm, E. PRIMAT: A Toolbox for Fast Privacy-preserving Matching PVLDB 12(12): 1826-1829 2019-08

Franke, Martin; Gladbach, Marcel; Sehili, Ziad; Rohde, Florens; Rahm, Erhard ScaDS Research on Scalable Privacy-preserving Record Linkage Datenbank-Spektrum 2019-02

Franke, Martin; Sehili, Ziad; Gladbach, Marcel; Rahm, Erhard Post-processing Methods for High Quality Privacy-Preserving Record Linkage Data Privacy Management, Cryptocurrencies and Blockchain Technology. DPM 2018, CBT 2018. pp. 263–278. Lecture Notes in Computer Science, vol 11025. Springer 2018-09

Franke, Martin; Sehili, Ziad; Rahm, Erhard Parallel Privacy-Preserving Record Linkage using LSH-based blocking Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security (IoTBDS), pp. 195-203, 2018 2018-03

Supervision of Thesis

• Finished:
  • Bachelor Thesis: Caroline Mösler, Visualisierungskonzept für PPRL-Workflows, 2018
  • Bachelor Thesis: Anna Schröder, Realisierung eines NF²-Prototypen zum Einsatz in der Lehre, 2019
  • Bachelor Thesis: Hans Angermann, Entwicklung eines Werkzeug zur graphischen Datenmodellierung (ERM, RM), 2019

Teaching

Lectures:

• DBS2: 2019

Tutorials:

• DBS1: WS 2019, WS 2018, WS 2017
• DBS2: SS 2020, SS 2019, SS 2018, SS 2017

Seminars:

• Trends in Machine Learning and Data Analytics WS 2019
• Secure Data Processing WS 2018
• Deep Learning WS 2017

Labs:

• Data-Warehouse: WS 2019, WS 2018, WS 2017
• Relational Databases: SS 2020, SS 2019, SS 2018, SS 2017
• Big Data: SS 2020, SS 2019, SS 2018