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.
Students will learn the theoretical and practical bases of the anonymization of personal data. In particular, students will study state-of-the-art techniques for the anonymization of multidimensional data, graphs, time series, longitudinal and transactional data, as well as some legal bases on the protection of personal data.
Lectures, hands-on activities, and individual study.
Scientific papers and links to relevant material will be suggested during the course.
Ricevimento: By appointment (in person or online), taken via email.
GASPARE FERRARO (President)
MANUELA BIANCHI
MARINA RIBAUDO (President Substitute)
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.
