Privacy Enhancing Technologies

Hi!

As announced in the lecture, please find a third bonus exercise sheet in the Materials section. This sheet will not be taken into account for exam admission, but it may be helpful in exam preparation. The solutions will be put online on Friday, so you can ask away at the final lecture, where the three of us will be available for questions.

Cheers, Robert

PS: Check out the last exercise in particular, if you want to see how you can put your understanding of protocol modelling and specification of privacy-like properties to use.

Hi everyone,

the protocol part is starting at 12:00, and I am as excited as you are. Please remember to take an early lunch, as we have to make up for last week's lecture, so we will start at exactly 12:00, and finish at 14:15. As of now, you can find chapter 1 of the script and the exercise sheet #2 in the CMS. I am happy for any typos that you find.

Furthermore, we managed to figure out how the CMS handles the exercise submissions, so starting from now, you can use the CMS'es mechanism. Consequently, the submission deadline for the first exercise sheet was extended by two days.

Finally, I've activated the askbot module, and ask you to use it for questions instead of the forum, as the forum seems to not always send email notifications. We've kept the forum activated, though, so that previous discussion remains available.

Cheers, Robert

Dear All,

July 18th will be the day for the "mid-term" evaluation of the semester project. You have to finish at least 50% of the project to be able to enter the final exam.

Please send me your "half-done" report of your project by July 18th 10pm (NO EXTENSION) by email (yang.zhang@cispa.saarland).

The final project report should contain

1. the motivation of your project
2. the problem definition
3. the methodology
4. evaluation results

So your "half-done" project report should follow the same structure.

Cheers,

Yang

Dear students,

Due to external obligations, the lecture on 25.06.2018 needs to be postponed. The easiest solution is to have two three-hours long lectures and 02.07 and 09.07. to make up for it. Please write me a mail if this additonal hour (or 15mins, if we push through without breaks ;)) poses a problem for you. 

Cheers, Robert

Hi all,

the first lecture (next Monday) will have a small practice session. 

Please install Anaconda:

https://www.anaconda.com/download/

and gensim:

https://radimrehurek.com/gensim/install.html

before the lecture starts.

We will use python's data science packages (pandas, numpy, and scipy) for the data privacy part of the lecture, it is recommended to get familiar with these packages.