Privacy Enhancing Technologies

After you complete this course, you will understand the main privacy concerns and how organizations collect your data. You will learn the most important privacy-enhancing technologies and their advantages and drawbacks. You will have a good understanding of when and which privacy technologies to use.

There are 7 lectures in the course.

1.  Introduction to Privacy: The lecture introduces you to privacy and its dangers.
2. Anonymization and De-identification techniques: The lecture presents the basic anonymization techniques and some general attacks.
3. Differential Privacy: The third lecture teaches you a very important and widely used technique, differential privacy.
4. Secure Aggregation and Secure Shuffling: The fourth lecture presents two techniques to aggregate data from clients.
5. Secret sharing and secure multiparty computation: The fifth lecture shows how to privately share a secret and compute functions for multiple participants.
6. Homomorphic Encryption: The sixth lecture teaches you how to outsource computation.
7. Signal and Tor: The final lecture presents two implemented anonymization protocols.
   Enjoy the course!

This course is delivered to you by SPECTRO. SPECTRO is a consortium consisting of 12 higher education institutions from 7 different countries, 2 innovative SMEs, and one leading research center in Information Systems and EIT Digital. SPECTRO is co-funded by the European Union’s Digital Europe Programme.