Máté obtained his MSc diploma in computer science in the Security and Privacy program of EIT ICT Labs at the University of Trento (Italy) and Eötvös Loránd University (Hungary). His bachelor degree is in mathematics from the Budapest University of Technology and Economics. He has been doing research in the CrySyS Lab. under the guidance of prof. Levente Buttyán since 2014.
This laboratory extends and deepens the knowledge and skills obtained in the courses of the IT Security minor specialization by solving practical, hands-on exercises in real, or close-to-real environments.
The sharing and explotation of the ever-growing data about individuals raise serious privacy concerns these
days. Is it possible to derive (socially or individually) useful information about people from this Big Data
without revealing personal information?
This course provides a detailed overview of data privacy. It focuses on different privacy problems of web tracking, data sharing, and machine learning, as well as their mitigation techniques. The aim is to give the essential (technical) background knowledge needed to identify and protect personal data. These skills are becoming a must of every data/software engineer and data protection officer dealing with personal and sensitive data, and are also required by the upcoming European General Data Protection Regulation (GDPR).