OUR BLOG

(De-)Anonymisation of Datasets

(De-)Anonymisation of Datasets

Alexandros Bampoulidis, RSA FG, WP5 – De-Anonymisation Task Personal data is data that contains information about individuals and is commonly used in the industry and academia for research and innovation purposes. However, with sharing these kind of data comes the...

read more
The price of personal data

The price of personal data

Mihnea Tufis, Eurecat, WP 4 Missing information about the value of data transactions is one of the barriers to establishing pricing models for data-as-commodity. We reviewed articles from online editions of tech magazines, newspapers, tech reports and identified a...

read more
Initial Safe-DEED demonstrator implemented and evaluated

Initial Safe-DEED demonstrator implemented and evaluated

The initial Safe-DEED demonstrator for the private data exchange intra and inter companies has been implemented and evaluated by the partners. Having collected initial feedback we started defining the functionality of the next version aiming at: Implementing...

read more
Feistel Structures for MPC, and more

Feistel Structures for MPC, and more

Martin R. Albrecht, Lorenzo Grassi, Leo Perrin, Sebastian Ramacher, Christian Rechberger, Dragos Rotaru, Arnab Roy and MarkusSchofnegger (2019) Ecient PRP/PRFs are instrumental to the design of cryptographic protocols. We investigate the design of dedicated PRP/PRFs...

read more
Chance influence in datasets with a large number of features

Chance influence in datasets with a large number of features

Abdel Aziz Taha, Alexandros Bampoulidis, Mihai Lupu (2019) Machine learning research, e.g. genomics research, is often based on sparse datasets that have very large numbers of features, but small samples sizes. Such configuration promotes the influence of chance on...

read more