Privacy-Preserving Technologies / Személyes adatok védelme (VIHIAV35)

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).





during the semester

Attendance is mandatory (above 70% ~ 10 lecture). The mid-term test is on the last lecture, below the attendance limit it cannot be taken. The final grade consist of the points obtained for the test with the extra points for providing feedback about the classes during the semester. Failed classroom tests can be retaken again on the supplement week.

Órák ideje és helye

Time and location of classes



  • Wednesdays, 12:15 - 14:00, E404


Megbeszélés szerint, az előadóval előre egyeztetett időpontban.

Office hours

Please contact the lecturer to schedule an appointment.



Date Topic Lecturer
Sept 6 Introduction and Motivation B. Pejo
Sept 13 Dark Patterns: Types, Countermeasures, and Cognitive Biases B. Pejo
Sept 20 Tracking: Profiling, Data Brokers, and Web Tracking B. Pejo
Sept 27 Legal background of Data Protection: GDPR B. Pejo
Oct 4 Machine Learning Privacy: Model Extraction & Inversion, Membership & Property Inference, Reconstruction Attack, and Fairness B. Pejo
Oct 11 De-anonymization: Structured & Unstructured Data B. Pejo
Oct 18 Re-identification: Entropy, Database Reconstruction, Query Auditing B. Pejo
Oct 25 Anonymization Primitives, K-Anonymity, Synthetic Data B. Pejo
Nov 1 Holiday
Nov 8 Differential Privacy: Properties, Mechanisms, Sensitivity, Dimensions B. Pejo
Oct 15 Cryptography: Theory (HE/SMPC/OT/SS/PSI/PIR/ZKP) B. Pejo
Oct 22 Cryptography: Applications (Secure Messaging / Steganography / Cryptocurrencies / E-Voting) B. Pejo
Oct 29 Advanced Topic B. Pejó
Dec 5 Final test (ZH) B. Pejo