Roundtable on Anonymization and Multi-Party Computation (digital)


On 17 July 2020 from 13.00-15.30, PI.lab will host a (digital) roundtable on Anonymization and Multi-Party Computation. Multi-Party Computation is a ‘toolbox’ of cryptographic techniques that allows several different parties to jointly compute data, just as if they have a shared database. Cryptographic techniques are used to protect the data, so it can be shared in a way that prevents the parties involved from ever being able to view other people’s data. The participating parties determine who is allowed to view the outcome of the computation.

Central questions that will be discussed during the roundtable include:

  • How to interpret anonymization in the context of absolute and relative concept of identifiability?
  • What is the effect of Multi-Party Computation on the anonymity of data?
  • Should the GDPR also be applicable on anonymized personal data?
  • How can identification risks be quantified?

We will have a team of experts with a variety of backgrounds present their views and discuss these topics. The provisional program is:

13:00 – 13:10 Introduction (Alex Sangers MSc, TNO)

13:10 – 13:25 Absolute and relative concept of identifiability (TBC)

13:25 – 13:40 Anonymization and the relation to GDPR (dr. Nadezhda Purtova, TILT)

13:40 – 14:00 Q&A and discussion

14:00 – 14:15 Use case 1: MPC in BigMedilytics (dr. Gabriele Spini, TNO)

14:15 – 14:30 Use case 1: Legal interpretation of MPC in BigMedilytics (Wouter van Haaften MSc, University of Amsterdam)

14:30 – 14:55 Q&A and discussion

14.55 – 15:10 Use case 2: Secure health care fraud prioritization (Rob Guikers / Michael Astro, Rabobank)

15:10 – 15:25 Q&A and discussion

15:25 – 15:30 Closing remarks (Alex Sangers MSc, TNO)


More information here:

Registration is free but required (you’ll receive a link and a password) via