General
- study semester
-
5-6
- standard study semester
-
6
- cycle
- occasional
- duration
- 1 semester
- SWS
- 4
- ECTS
- 6
- teaching language
- English
People
- responsible
-
Dr. Yang Zhang
- lectures
-
Dr. Yang Zhang
Assessment & Grades
- entrance requirements
-
Machine Learning
- assessment / exams
Projekt und Abschlussklausur
- grade
Das Modul ist insgesamt bestanden, wenn die Prüfungsleistung bestanden wurde.
Workload
- course type /weekly hours
2 h lectures
+ 2 h tutorial
= 4 h (weekly)
- total workload
60 h of classes
+ 120 h private study
= 180 h (= 6 ECTS)
Aims / Competences to be developed
The aim of this lecture is to present to students the state-of-the-art privacy-enhancing technologies. Attendees at the end of the lecture should have sufficient knowledge about the field to conduct research on this topic.
Content
- Privacy Quantification
- Differential Privacy
- Machine Learning and Privacy
Literature & Reading
The teaching material will be in English and it will be announced at the beginning of the lecture.
Additional Information
Curriculum
This module is part of the following study programmes:
Cybersicherheit BSc: Vertiefungsvorlesungen der Cybersicherheit
study semester: 5-6 / standard study semester: 6
Cybersecurity MSc: Vertiefungsvorlesungen Cybersecurity
study semester: 1-3 / standard study semester: 4
Cybersecurity BSc (English): Kernthemen der Cybersicherheit
study semester: 5-6 / standard study semester: 6