| Semester | Winter 2020 |
| Course type | Practical Course/ Lab |
| Lecturer | Jun.-Prof. Dr. Wressnegger |
| Audience | Informatik Master & Bachelor |
| Credits | 4 ECTS |
| Time | 14:00–17:15 |
| Room | 149, Building 50.34 and online |
| Language | English |
| Link | https://campus.kit.edu/campus/lecturer/event.asp?gguid=0x0AE5E7D10C7045F29371968FE8226CF5 |
| Registration | https://ilias.studium.kit.edu/goto_produktiv_crs_1265048.html |
Due to the ongoing COVID-19 pandemic, this course is going to start off remotely, meaning, the kick-off meeting and the individual units will happen online. The final colloquium, however, will hopefully be an in-person meeting again.
To receive all the necessary information, please subscribe to the mailing list here.
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
The best approaches are awarded at the end of the semester and presented at a joint colloquium and get-together.
| Date | Step |
| 10. Nov | Kick-off & Unit 0: An easy start |
| 17. Nov and 24. Nov | Unit 1: Lots and Lots of Spam |
| 1. Dec and 8. Dec | Unit 2: Network-based Attack Detection |
| 15. Dec and 22. Dec | Unit 3: Embedded Malware |
| 12. Jan and 19. Jan | Unit 4: Bot Detection on Social Media |
| 26. Jan and 2. Feb | Unit 5: Adversarial Machine Learning |
| 16. Feb | Award ceremony and presentation at final colloquium |
To participate it is strongly recommended to have attended the lecture
or the lecturesNews 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.