Content
One line statement on content of course
The lecture Privacy Enhancing Technologies gives an overview of modern cryptographic and non-cryptographic methods to increase privacy.
Content
Privacy is the ability of an individual or group to seclude themselves or information about themselves.
This lecture covers basic principles of privacy and mechanisms to increase a user's privacy. We will take a closer look at building blocks that provide privacy, including:
- Database recovery
- Differential Privacy and k-anonymity
- TOR and traffic analysis
- Anonymous Credentials and Identification
- Multiparty Computation protocols
- (Fully) Homomorphic Encryption
- Private Information Retrieval
- Blockchains
- Zero Knowledge Proofs
COVID-19 Info
All lectures and exercises are planned in person this year. KU will also be in person.
As long as the TU Graz rules permit (
traffic light green, yellow, orange, red), at the VO exams will remain written, conducted in small groups and according to the
TU Graz guidelines for on-campus exams.
In case you are reluctant or unable to participate in an on-campus exam (e.g., risk group), contact pets@iaik.tugraz.at to arrange a virtual oral exam via
WebEx.
You can find
upcoming exam dates in TUGRAZonline. If no upcoming dates are listed, ask us!
Keep in touch on
Discord (channel
#pets).
Material
Practicals
Group registration deadline:
10.10.2022 (23:59)
Administrative Information
Lecture Exams (VO)
The VO exam is a written exam.
See above for COVID-19 plans.
Please find the exam dates and registration in
TUGRAZonline.
Practicals (KU)
In the practicals, you implement small projects related to the topics discussed in the lectures. The practicals consist of 3 assignments
T1, T2, T3 solved in teams of 2 students.
You can earn a total of 100 points; the grading scheme is shown in the table below.
You will get a grade as soon as you hand in a solution to T1 by adding a git tag. Groups that do not hand in anything for T1 will not be given a grade and will be unregistered from the course. Note that handing in T1 (even an empty solution) is the only condition for “getting a grade”.
| Grade |
5 |
4 |
3 |
2 |
1 |
|
| Min. Points |
< 50 |
≥ 50 |
≥62.5 |
≥ 75 |
≥ 87.5 |
of 100 |
Teams and Team Registration
The KU is done in teams of 2 students. You can use the
IAIK discord, channel
#pets to find team members. You then register your team at the
TeachCenter.
Submission
You are given access to a git repository in our
teaching git where you have to push your submission. The required content is discussed in the Kick-Off lectures.
You
must mark your final submission by tagging it in git. The tag label starts with the assignment (
T1,
T2,
T3), followed by a dash and a number. As an example,
T1-1 is the label for the first assignment. As tags cannot be deleted, you may always update your final submission by increasing the appended number:
T1-2,
T1-3, etc. In the end, the tag with the
highest number before the deadline counts.
Your submissions will be tested automatically by our test system. Thus, you need to respect and
meet file naming constraints of the individual assignments. Otherwise, the tests will all fail and you will receive 0 points for the assignment.
After hand-in of the last task, there will be a team interview for all 3 tasks. There, both team members need to be able to explain your solution of each assignment.
Important Links
Points of Communication
Please use the following methods for communication:
Lecturers
