Pierangela Samarati

Full professor, Universita` degli Studi di Milano

Pierangela Samarati is a Professor at the Department of Computer Science of the Università degli Studi di Milano, Italy. Her main research interests are on data and applications security and privacy, especially in emerging scenarios. She has participated in several projects involving different aspects of information protection. On these topics, she has published more than 280 peer-reviewed articles in international journals, conference proceedings, and book chapters. She has been Computer Scientist in the Computer Science Laboratory at SRI, CA (USA). She has been a visiting researcher at the Computer Science Department of Stanford University, CA (USA), and at the Center for Secure Information Systems of George Mason University, VA (USA). She is the chair of the IEEE Systems Council Technical Committee on Security and Privacy in Complex Information Systems (TCSPCIS), of the ERCIM Security and Trust Management Working Group (STM), and of the ACM Workshop on Privacy in the Electronic Society (WPES). She is a member of several steering committees. She is ACM Distinguished Scientist (named 2009) and IEEE Fellow (named 2012). She has received the ESORICS Outstanding Research Award (2018), the IEEE Computer Society Technical Achievement Award (2016), the IFIP WG 11.3 Outstanding Research Contributions Award (2012), and the IFIP TC11 Kristian Beckman Award (2008). She has served as General Chair, Program Chair, and program committee member of several international conferences.

Pierangela is speaking at

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

Speakers

Description

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.

Speaker

Title

Zoltan Mann (University Duisburg-Essen, BDVA)

Opening

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

All

Discussion

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