Sebastian Pape

Senior Researcher, Goethe University Frankfurt

Sebastian Pape is a senior researcher working at the Chair of Mobile Business & Multilateral Security at Goethe University Frankfurt. He successfully completed diplomas in mathematics (Dipl.-Math.) and computer science (Dipl.-Inform.) at Darmstadt University of Technology and holds a doctoral degree (Dr. rer. nat.) from the University of Kassel. From 2005 to 2011, he worked as research and teaching assistant at the Database Group (lead by Prof. Dr. Lutz Wegner) of the Department of Electrical Engineering and Computer Science of the University of Kassel. From 2011 to 2015, he was a senior researcher and teaching assistant at the Software Engineering for Critical Systems Group (lead by Prof. Dr. Jan Jürjens) of the Department of Computer Science Department of TU Dortmund University. From October 2014 to January 2015, he also was a visiting researcher (of Prof. Dr. Fabio Massacci) at the security group of the Department of Information Engineering and Computer Science of University of Trento. From October 2018 to August 2019 he was standing in as a professor for business informatics at Regensburg University.

Sebastian is speaking at

Focus Track 2 - Technology, Platforms and Trust
November 4, 2020
10:00 am - 11:30 am



Modern AI applications crucially depend on large volumes of real-world data, including data about natural persons. However, the use of personal data is associated with data protection challenges. Privacy-preserving technologies are being developed to cope with these challenges. This is a hot topic because

  • AI applications are spreading rapidly, opening new possibilities for technology, business, and society.
  • There is a growing concern about the use of personal data in AI applications. Misalignment with current and upcoming EU legislation (e.g., GDPR, ePrivacy) threatens to hamper the adoption of AI.
  • Privacy-preserving AI and big data applications are in the focus of several ongoing or recently finished EU projects. Dissemination of the projects’ results and cross-fertilization among the projects would be highly beneficial.

The aim of this session is to discuss cutting-edge advances in privacy-preserving technologies and how they foster the use of big data for AI. The session will allow current and recently finished EU projects (BDV PPP and beyond) to present and discuss their use of privacy-preserving technologies to protect data for AI.



Zoltan Mann (University Duisburg-Essen, BDVA)


Alberto Crespo & Juan Carlos Perez Baun (Atos)

Towards robust privacy preserving of data and digital sovereignty in European data spaces: examples from EU research projects

Pierangela Samarati (University Milano)

MOSAICrOWN: Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and OWNer control

Mark Purcell (IBM)

Musketeer – a scalable, secure and privacy aware architecture

Sebastian Pape (University Frankfurt)

Risk Analysis of Inference Attacks on IoT Wearables

Sébastien Ziegler (Mandat International)

GDPR Certification applicability to Artificial Intelligence



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