Alberto Crespo

Head of Blockchain, Identity and Privacy Unit, Atos Spain S.A.

Alberto Crespo is currently working at Atos in Spain as Head of Blockchain Identity & Privacy Unit within Atos Research & Innovation, managing a multi-disciplinary information security research team which has been/is involved on several security-related national and European projects (IDENTICA, Segur@, Thofu, PICOS, SEMIRAMIS, MobiGuide, DAPHNE, MoveUS, PACT, PRIPARE, STORK, STORK 2.0, STRATEGIC, FutureID, FIDES, FIDES2, PIME, ABC4EU, SSEDIC, WITDOM, PRISMACLOUD, CREATE-IoT, LIGHTest, ARIES, LEPS, ESMO, SEAL, GRIDS, FENTEC, CREDENTIAL, INFINITECH, DataVaults, BD4OPEM, PAPAYA and Digital Europe For All). He has several years of professional experience in physical and information security projects across Europe which encompass, among others, trust and privacy applied to complex Identity and Access Management projects, credential and access control systems development and analysis (including identity verification solutions based on biometrics applied as well to border control) and consultancy in international standards for the issuance and cross-border use of secure travel and identity documents. He holds a Degree in Computer Science Engineering (Cp.E.) at the Universidad Pontificia of Salamanca in Madrid with Specialisation Profile in Financial Computing and the International Baccalaureate Diploma (among other bicultural qualifications).

Alberto 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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