DD3344 Integritetsskyddande teknologier 7,5 hp

Privacy- Enhancing Technologies

Privacy has become an increasingly important topic as our data and data about us is both increasing and more and more being collected and mined. This course will give an overview of privacy concepts and terminology as well as concrete examples of privacy-enhancing technologies (PET) and some of their applications.

  • Utbildningsnivå

  • Huvudområde

  • Betygsskala

    P, F


VT19 för programstuderande

  • Perioder

    VT19 P3 (7,5 hp)

  • Anmälningskod


  • Kursen startar


  • Kursen slutar


  • Undervisningsspråk


  • Studielokalisering

    KTH Campus

  • Undervisningstid


  • Undervisningsform


  • Antal platser

    Ingen begränsning

Information för forskarstuderande om när kursen ges

Please contact Sonja Buchegger, buc@csc.kth.se!


The students should be able to:

  • recognize threats to privacy
  • explain the basic privacy terminology and concepts and use them correctly
  • find and apply documentation of privacy-related problems and technologies
  • get an overview of existing privacy-enhancing technologies  (PETs)
  • analyze system PET descriptions in terms of their privacy protection and how they work
  • identify vulnerabilities of system descriptions and predict their corresponding threats
  • select counter-measures to identified threats and argue their effectiveness
  • compare counter-measures and evaluate their side-effects
  • present and explain their reasoning to others

such that the students can:

  • reason about privacy in general and PETs in particular and
  • incorporate existing PETs into their research or start developing new ones.

Kursens huvudsakliga innehåll

  • Legal context for privacy in Europe
  • Fundamental privacy terminology and concepts
  • A range of privacy-enhancing technologies (PETs)


The course takes place as a series of day-long meetings at different locations, such as KTH, KAU, and Chalmers. Each meeting will have student presentations, discussions, and lectures.


This course is for PhD students in Computer Science or related subjects.


The reading list will be available on the course website and will be amended as the course proceeds.


  • EXA1 - Examination, 7,5, betygsskala: P, F

Krav för slutbetyg

The grading is pass/fail. To pass the course, the students successfully complete the following tasks.

Do assigned reading

Select a topic

Suggest a relevant reading list for the other participants

Present the selected topic

Lead a discussion on the selected topic

Hand in a written assignment

Participate in at least 80% of the meetings, preferably in person

Missed meetings can be made up by a written report on the meeting topics.

Ges av

EECS/Teoretisk datalogi


Sonja Buchegger <buc@kth.se>

Övrig information

This course has been developed within SWITS, which is a network for security researchers in Sweden, mainly PhD students. Together with Simone Fischer-Hübner at Karlstad Unversity, we offer this PhD course on Privacy-Enhancing Technologies that can be attended by SWITS PhD students also from other locations in Sweden.

Examiners are:
Sonja Buchegger at KTH and Simone Fischer-Hübner at KAU.


Kursplan gäller från och med VT2019.
Examinationsinformation gäller från och med VT2019.