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Curriculum

Modul CS4451-KP06

Privacy (Privacy)

Duration:


1 Semester
Turnus of offer:


each winter semester
Credit points:


6
Course of studies, specific field and terms:
  • Master Computer Science 2019 (optional subject), Elective, Arbitrary semester
  • Master Medical Informatics 2014 (optional subject), ehealth / infomatics, 1st or 2nd semester
  • Master Medical Informatics 2019 (optional subject), ehealth / infomatics, 1st or 2nd semester
  • Master IT-Security 2019 (optional subject), IT Security and Privacy, 1st, 2nd, or 3rd semester
Classes and lectures:
  • Privacy (exercise, 2 SWS)
  • Privacy (lecture, 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
Requires:
Responsible for this module:
Teachers:
Literature:
Language:
  • English, except in case of only German-speaking participants
Notes:

Admission requirements for taking the module:
- None (the competencies under

Letzte Änderung:
2.10.2023