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).
A kiadott anyagokat a Moodle rendszeren keresztül lehet letölteni.
The course materials can be downloaded from the Moodle sytem.
The mid-term test is on the last lecture. The final grade consist of the points obtained for the test with the extra points from attending the lectures. 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 | |
|---|---|---|---|
| Febr 14 | Introduction and Motivation | B. Pejo | |
| Febr 21 | Dark Patterns: Types, Countermeasures, and Cognitive Biases | B. Pejo | |
| Febr 28 | Tracking: Profiling, Data Brokers, and Web Tracking | B. Pejo | |
| Marc 6 | Legal background of Data Protection: GDPR | B. Pejo | |
| Marc 13 | De-anonymization: Structured & Unstructured Data | B. Pejo | |
| Marc 20 | Re-identification: Entropy, Database Reconstruction, Query Auditing | B. Pejo | |
| Marc 27 | Machine Learning Privacy: Model Extraction & Inversion, Membership & Property Inferencene | B. Pejo | |
| Apr 3 | Holiday | - | |
| Apr 10 | Anonymization Primitives, K-Anonymity, Synthetic Data | B. Pejo | |
| Apr 17 | Differential Privacy: Properties, Mechanisms, Sensitivity, Dimensions | B. Pejo | |
| Apr 24 | Cryptography: Theory (HE/SMPC/OT/SS/PSI/PIR/ZKP) | B. Pejo | |
| May 1 | Holiday | ||
| May 8 | Cryptography: Applications (Secure Messaging / Steganography / Cryptocurrencies / E-Voting) | B. Pejo | |
| May 15 | ZH | B. Pejo | |