Phillipp Schoppmann

Phillipp Schoppmann studied Computer Science and Informatics at Humboldt University of Berlin and the University of Edinburgh. Since October 2016 he has been a PhD student and a research assistant at the computer engineering group of HU Berlin, conducting research on privacy, security, cryptography, and multi-party computation. During his PhD studies, he spent multiple months abroad on research stays at the Alan Turing Institute in London and at Google in New York. Since June 2019, Phillipp has been an associated researcher at HIIG, working on “Secure multiparty computation for machine learning and healthcare applications” as part of the research program “Data, actors, infrastructures”.

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Position

Associate researcher: Data, actors, infrastructures

Journal articles and conference proceedings

Gascón, A. , Schoppmann, P., Balle, B. , Raykova, M., Doerner, J., Zahur, S. , and Evans, D. (2017). Privacy Preserving Distributed Linear Regression on High-Dimensional Data. Proceedings on Privacy Enhancing Technologies (PETS '17), 2017, 2017(4), 345-364. Publication details

Other publications

Lectures and presentations

Make Some ROOM for the Zeros - Data Sparsity in Secure Distributed Machine Learning
Theory and Practice of Multi-Party Computation Workshop (Session: Theory and Practice of Multi-Party Computation Workshop). Bar-Ilan University. Bar-Ilan University, Tel Aviv, Israel: 15.11.2019 Further information

Phillipp Schoppmann

Make Some ROOM for the Zeros - Data Sparsity in Secure Distributed Machine Learning
London Crypto Day 2019 (Session: London Crypto Day 2019). Google London, London, United Kingdom: 11.10.2019 Further information

Phillipp Schoppmann

Make Some ROOM for the Zeros - Data Sparsity in Secure Distributed Machine Learning
Oblivious Data Structures and Algorithms Workshop (Session: Oblivious Data Structures and Algorithms Workshop). ODSA: Oblivious Data Structures and Algorithms. University Residential Center l, Bertinoro, Italy: 17.07.2019 Further information

Phillipp Schoppmann

Organisation of events

CCS 2019 Workshop: PRIVACY PRESERVING MACHINE LEARNING
CCS 2019 Workshop: PRIVACY PRESERVING MACHINE LEARNING. 15.11.2019. London, London, United Kingdom. Co-Organised by: Borja Balle, Adrià Gascón, Olya Ohrimenko, Mariana Raykova, Carmela Troncoso (International) Further information

Phillipp Schoppmann