Privacy Enhancing Technologies (PETs) - part 1

This course is listed

in Aachen RWTHonline as Privacy Enhancing Technologies - part 1,
in Bonn Basis as MA-INF 1223 Privacy Enhancing Technologies (PETs) - part 1.
in eCampus as |2022/23 WiSe| MA-INF 1223 Privacy Enhancing Technologies (PETs) - part 1.

To participate in this course, please join this course in eCampus [direct sign up]! This is only possible with a valid Uni ID of the university of Bonn.

With more and more data available a clear separation of sensitive data is necessary and needs to be protected. Some of that data must stay within strict environments, for examples hospitals must store certain highly sensitive medical information about patients but they are not allowed to store it outside its own facilities. Some of that data is stored or collected in a cloud environment in encrypted form, say data from a medical device or a smart home. But it shall still be possible to derive important conclusions from it, for example to send immediate help to a patient suffering a heart attack.

Innovative solutions are needed in this area of tension. The research in cryptography provides some highly sophisticated tools for solving the like problems.

[part 1] Fully homomorphic encryption (FHE).
[part 1] Zero-Knowledge techniques, in particular: Non-interactive zero-knowledge proof (NIZKs).
[part 2] Secure multi-party computations (MPC). [Including: Yao's garbled circuits. Oblivious transfer. Private set intersection (PSI).]
[part 2] Anonymisation, TOR. Pseudonymization. Blinding.
[part ?] Weaker privacy notions, like differential privacy.

This course shall be the first of two related courses covering different parts from this list.

Lecture

Michael Nüsken

Time & Place

Lecture: Monday, 10⁰⁰ c.t.-12⁰⁰, b-it-max 0.109 and digital lecture room..
Tutorial: Wednesday, 14⁰⁰ c.t.-16⁰⁰, b-it-max 0.109 and digital tutorial room..
Consultation time (optional): Monday, 12¹⁵ c.t.-14⁰⁰, digital lecture room.
This is for personal questions.

First meeting:

Monday, 24 October 2022, 10⁰⁰ c.t.-12⁰⁰, b-it-max 0.109 and digital lecture room.
Monday, 24 October 2022, 13⁰⁰-16⁰⁰, Speed grouping, b-it-max 0.109 and digital lecture room.

To ease your communication you can at any time appoint with each other in this free room.

Notes & Exercises

You will find notes and exercises at sciebo until September 2023.

Lecture recordings, exercise handin and feedback are handled via the eCampus pages of the course.

Prerequisites

Basic knowledge in cryptography is highly recommended. A profound mathematical background does help.

Allocation

2+1 SWS.

Master in Media Informatics: Computer and Communication Technology, 4 ECTS credits.
?? Master in Computer Science at University of Bonn, 4 CP.

Together with part 2 this will be a 4+2 SWS module. It will be possible to visit only one of the parts this time.