The course will introduce methodologies at the state of the art for protecting several data types (e.g., databases, time series, graphs, longitudinal data and transactional data). Furthermore, the course will provide some insights on legal aspects related to the protection of the user's privacy.
Gli studenti apprenderanno le basi teoriche e pratiche dell'anonimizzazione di dati personali. In particolare, gli studenti studieranno le tecniche allo stato dell'arte per l'anonimizzazione di dati multidimensionali, grafi, serie di tempo, dati longitudinali e transazionali, oltre ad alcune basi legali sulla protezione dei dati personali.
Lectures, hands-on activities, and individual study.
Scientific papers and links to relevant material will be suggested during the course.
Ricevimento: Su appuntamento (in presenza o online) definito per email.
Ricevimento: La Prof.ssa Manuela Bianchi riceve gli studenti ogni lunedì, al termine della lezione
GASPARE FERRARO (Presidente)
MANUELA BIANCHI
MARINA RIBAUDO (Presidente Supplente)
In agreement with the calendar approved by the Degree Program Board of Computer Science.
The exam consists of the following parts: (i) a written test for admission to the oral examination and (ii) an oral examination during which students will discuss their assignments/project.
The written test, which serves as the admission to the assignments discussion, consists of some closed and open-ended questions related to the topics covered in class. The test allows the evaluation of the student's theoretical knowledge acquired during the course. Once the written test is completed, the schedule for the oral examinations is agreed upon. The written test and the assignments/project discussion take place in the same session.
