Datalab: Intelligent Data Analysis for Computer Security


SemesterWinter 2022
Course typePractical Course/ Lab
LecturerJun.-Prof. Dr. Wressnegger
AudienceInformatik Master & Bachelor
Credits4 ECTS
Room149, Building 50.34 and online


In this practical course, the students develop learning-based systems for different computer security tasks, thereby intensifying their knowledge gained in the lecture "Machine Learning for Computer Security."

The students have the unique opportunity to design, implement, and evaluate systems based on real-world data used in computer security research.

The "Datalab" is composed of 6 units with several individual tasks covering different topics from classical computer security research, such as attack detection, spam classification, or vulnerability discovery. In each unit, the students develop an approach, train and validate it on known data, and submit their solution to the course platform, where the approach is tested against unknown data.

The best approaches are awarded at the end of the semester and presented at a joint colloquium and get-together.


24. OctKick-off (physical presence necessary) &
Unit 0: An easy start
31. Oct and 7. NovUnit 1: Lots and Lots of Spam
14. Nov and 21. NovUnit 2: Network-based Attack Detection
28. Nov and 5. DecUnit 3: Embedded Malware
12. Dec and 19. DecUnit 4: Android Malware Detection
9. Jan and 16. JanUnit 5: Adversarial Machine Learning
23. Jan and 30. JanUnit 6: Model Stealing/Extraction
6. FebDeadline for the last unit
13. FebAward ceremony and presentation at final colloquium


To participate it is strongly recommended to have attended the lecture

or the lectures

Mailing List

News about the practical course, potential updates to the schedule, and additional material are distributed using a separate mailing list. Moreover, the list enables students to discuss topics and solution approaches.

You can subscribe here.