| Semester | Winter 2024 |
| Course type | Practical Course/ Project |
| Lecturer | TT.-Prof. Dr. Wressnegger |
| Audience | Informatik Master & Bachelor |
| Credits | 6 ECTS |
| Language | English or German |
| Link | TBA |
| Registration | TBA |
This course offers state-of-the-art research topic tailored to each student. Come talk to us before the semester starts to discuss the details to find the best fit for you.
In this practical course, the students work on a project at the intersection of artificial intelligence, machine learning, and computer security. They come in contact with and participate in timely and state-of-the-art research in this exciting field. In this scope, the students read up on a sub-field, design and implement a learning-based system, and conduct evaluations on real-world data.
Topics include but are not limited to adversarial machine learning, explainability of machine learning in computer security, learning-based attack detection, and vulnerability discovery.