Schools and Seminars

Data analysis and data mining may bring various benefits for understanding our society. At the same time, it may reveal critical information about us, such as our habits, exposing our private characteristics. To motivate the need of privacy enhancing techniques, this seminar will review some past attacks resulting from naive anonymization (of medical records, AOL internet search queries, Netflix movie ratings, and NYC-taxis geo-located data), and present means to prevent attribute and identity disclosure in different contexts such as databases, networks, and geo-located data. In addition, this seminar will explain the trade-offs between the risk of disclosure and utility loss in Open Data, and comment potential strategies based on the legal framework of the recent EU General Data Protection Regulation (GDPR).

Julián Salas, PhD

Universitat Oberta de Catalunya

• Current member of the K-riptography and Information Security for Open Networks (KISON) research group at the Internet Interdisciplinary Institute IN3 from UOC.
• Postdoctoral research on data privacy protection at the CRISES group at the University Rovira i Virgili (URV) and previously at the Artificial Intelligence Research Institute-National Research Council (IIIA-CSIC).
• PhD degree in Applied Mathematics, Polytechnic University of Catalunya – Spain

Seminar information

Conducted in English

Monday 05th to Thursday 08th (06:30 p. m. - 09:30 p. m.)
Friday 09th (06:30 p.m. - 10:30 p.m.)

Credits: 1

Place: (to be confirmed)

Prerequisites: (50) créditos académicos aprobados y Matemáticas II