Module CS4451-KP06

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

6

Course of studies, specific fields and terms:

• Master Computer Science 2019, optional subject, Elective
• Master Medical Informatics 2014, optional subject, ehealth / infomatics
• Master Medical Informatics 2019, optional subject, ehealth / infomatics
• Master IT-Security 2019, optional subject, IT Security and Privacy

Classes and lectures:

• Privacy (lecture, 2 SWS)
• Privacy (Seminar-based teaching with exercises, 2 SWS) (exercise, 2 SWS)

Workload:

• 60 hours in-classroom work
• 100 hours private studies
• 20 hours exam preparation

Contents of teaching:

• Private statistics (Differential Privacy)
• Privacy preserving machine learning
• Privacy attacks against machine-learned models
• Privacy-preserving computation in distributed systems.
• Stylometry: de-anonymization via writing style
• Anonymity

Qualification-goals/Competencies:

• Deep understanding for algorithmic and algebraic methods to secure private data
• Skills to analyze complex security requirements

Grading through:

• Oral examination

Responsible for this module:

• Prof. Dr. rer. nat. Esfandiar Mohammadi

Teacher:

• Institute for IT Security
• Prof. Dr. rer. nat. Esfandiar Mohammadi

Literature:

• C. Dwork, A. Roth : The Algorithmic Foundations of Differential Privacy Now Publishers Inc, 2014
• Stanford : Encyclopedia of Philosophy on Privacy /li>
• Andrej Bogdanov : Lecture notes by Andrej Bogdanov from Chinese University of Hong Kong /li>
• Journal und Konferenz-Publikationen : wird aktuell benannt

Language:

• English, except in case of only German-speaking participants

Notes:

Last Updated:

28.11.2025