Data Privacy 7.5 credits

About the course

In the information age, information is continuously stored and transmitted. Most of this information is sensitive, and needs to be properly processed and stored to avoid undesirable disclosure. Data-driven models and data aggregates are not free from privacy risks.

Data privacy is the field that provides tools to avoid or control information leakage. This course aims to present privacy models (computational definitions of privacy), techniques, and performance measures for privacy-preserving tools. During the course, the students will acquire knowledge about alternative perspectives of privacy as well as their implementation.

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