Privacy-preserving technologies 2025/26 spring

Lectures and practice sessions

Compared to the last year, the schedule of the course has been slightly reworked. The content is updated every year.

The information in this page gives the materials for the lectures and practice sessions, as well as references to similar lectures in past years (where relevant). This information includes the lecture slides, as well as instructions to download and/or install tools that will be used in the practice sessions.

Weeks 1-16 (11.02-27.05.2026, various lecturers): see the content for the previous year

• Week 1 (11.02.2026) Dan Bogdanov: Course introduction. Introduction to privacy, data protection and Privacy Enhancing Technologies. Analysis of existing systems.
  • Lecture: Course introduction. Introduction to privacy, data protection and Privacy Enhancing Technologies. Analysis of existing systems.
  • Seminar: Analysis of the intended and emergent effects of new services.
  • Homework: Analysis of the intended and emergent effects of new services.
• Week 2 (18.02.2026) Jan Willemson: introduction to cryptography, in a non-technical way.
• Week 3 (25.02.2026) Kristjan Krips: Attacks on privacy
  • Lecture notes: Attacks on privacy, slides
  • Lab tasks
  • OSINT homework
• Week 4 (04.03.2026) Raimundas Matulevičius: Designing privacy-preserving systems (part 1), focusing on GDPR.
• Week 5 (11.03.2026) Raimundas Matulevičius: Designing privacy-preserving systems (part 2), focusing on modelling of business processes using PETs.
• Week 6 (18.03.2026) Liina Kamm: Introduction to data subject privacy enhancing techniques. Pseudonymisation.
• Week 7 (25.03.2026) Liina Kamm, Andre Ostrak: Anonymisation. Practice session on anonymisation.
• Week 8 (01.04.2026) Alisa Pankova: Differential privacy.
• Week 9 (08.04.2026) Pille Pullonen-Raudvere: privacy-preserving protocols for specific and general computational tasks.
• Week 10 (15.04.2026) Riivo Talviste: Privacy-preserving computations. We will use Sharemind as technology for instruction.
• Week 11 (22.04.2026) Triin Siil: Legal status of privacy technologies.
• Week 12 (29.04.2026) Liina Kamm: Privacy-Preserving AI. Data synthesis.
• Week 13 (06.05.2026) Nikita Snetkov and Peeter Laud: Cryptography for privacy preservation; privacy-preserving crypto primitives. Ring signatures, attribute-based encryption, zero-knowledge proofs, proxy re-encryption, etc. As non-technically as possible.
• Week 14 (13.05.2026) Jan Willemson and Dan Bogdanov: example / exemplary use-cases for privacy-preserving cryptography.
• Week 15 (20.05.2026) Liina Kamm: Concluding seminar and problem-solving.