magyar nyelvű adatlap
angol nyelvű adatlap
Privacy-Preserving Technologies
A tantárgy neve magyarul / Name of the subject in Hungarian: Személyes adatok védelme
Last updated: 2019. április 3.
Electrical Engineering, Engineering Information Technology,
Dr. Gergely Ács assistant professor,Department of Networked Systems and Services
Dr. Levente Buttyán associate professor, Department of Networked Systems and Services
1. week Introduction and Motivation
2. week Legal background of Data Protection: GDPR
3. week Cryptography: Homomorphic Encryption, Private Set Intersection, Secure Multiparty Computation 4. week Privacy-preserving communication 1: TOR and attacks on TOR
5. week Privacy-preserving communication 2: Secure Messaging (Signal), Oblivious Transfer, Private Information Retrieval
6. week Web Tracking and Anti-Tracking
7. week Personal data leakage from relational data: Uniqueness, Attribute Inference, Linking
8. week Personal data leakage from unstructured data: Detection with Machine Learning, Web page fingerprinting, Code stylometry
9. week Personal data leakage from aggregate data: Query auditing, Location recovery from density, Membership attack
10. week Data anonymization: K-anonymity, Differential Privacy, RAPPOR
11. week Privacy in Machine Learning: Modell inversion, Membership attack, Fairness
12. week Interdependent Privacy
13-14. week Psychological profiling and manipulation, Cognitive Security
a. during the semester: Fulfilling the requirements 1 classroom test. The final grade is the grade obtained for the test.
b. during the exam period: -
Lectures
28
Preparation for lectures
16
Preparation for classroom test
Sum
60