This course provides an introduction into the practical problems of data protection and privacy.
Students can develop skills of understanding and assessing privacy threats and designing
countermeasures. The course focuses on the problem of unwanted personal and sensitive data leakage from different information sources
(e.g., large datasets, web-tracking, machine learning models), and its detection as well as
mitigations using Privacy Enhancing Technologies (PETS). Rules and requirements are also available in Hungarian on the
official site of the course.
This page is the course homepage, which contains practical information related to the course such as administrative information and schedule.
Lecture slides and supplementary materials are available on Moodle.
The aim is to deliver (mainly technical) knowledge required by the General European Data Protection Regulation (GDPR) from Data Protection Officers (DPOs).
1 mid-term test on the last lecture. The final grade is the grade obtained for the test. Failed classroom tests can be retaken again on the supplement week.
Megbeszélés szerint, az előadóval előre egyeztetett időpontban.
Please contact the lecturer to schedule an appointment.
| Date | Topic | Lecturer | |
|---|---|---|---|
| TBA | Introduction and Motivation | B. Pejo | |
| TBA | Dark Patterns: Types, Countermeasures, and Cognitive Biases | B. Pejo | |
| TBA | Tracking: Profiling, Data Brokers, and Web Tracking | B. Pejo | |
| TBA | Legal background of Data Protection: GDPR | B. Pejo | |
| TBA | Cryptography: Theory (HE/SMPC/OT/SS/PSI/PIR/ZKP) | B. Pejo | |
| TBA | Cryptography: Applications (Cryptocurrencies/Tor/E-Voting | B. Pejo | |
| TBA | Machine Learning Privacy: Model Extraction & Inversion, Membership & Property Inference, Reconstruction Attack, and Fairness | B. Pejo | |
| TBA | Deanonymization: Relational data | B. Pejo | |
| TBA | Deanonymization: Unstructured data | B. Pejo | |
| TBA | Deanonymization: Aggregate data | B. Pejo | |
| TBA | Anonymization: K-Anonimity | B. Pejo | |
| TBA | Anonymization: Differential Privacy | B. Pejó | |
| TBA | Guest Lecture | ||
| 2022.12.08 | Final test (ZH) | B. Pejo | |