Parallel Session on Privacy-preserving technologies – a key enabler of big data for AI
November 4, 2020 - 10:00 - 11:30
Focus Track 2 - Technology, Platforms and Trust
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)
Towards robust privacy preserving of data and digital sovereignty in European data spaces: examples from EU research projects
- Alberto Crespo & Juan Carlos Perez Baun (Atos)
MOSAICrOWN: Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and OWNer control
- Pierangela Samarati (University Milano)
Musketeer – a scalable, secure and privacy aware architecture
- Mark Purcell (IBM)
Risk Analysis of Inference Attacks on IoT Wearables
- Sebastian Pape (University Frankfurt)
GDPR Certification applicability to Artificial Intelligence
- Sébastien Ziegler (Mandat International)
SPEAKERS OF THIS SESSION
Head of Blockchain, Identity and Privacy Unit at Atos Spain S.A.
Juan Carlos Perez Baun
Reserch Analyst at Atos
Principal Investigator at IBM Research
Full professor at Università degli Studi di Milano
Senior Researcher at Goethe University Frankfurt
President / Director General at IoT Forum / Mandat International - IoT Lab
senior researcher at University of Duisburg-Essen