| Semester | Winter 2024 |
| Course type | Block Seminar |
| Lecturer | TT.-Prof. Dr. Wressnegger |
| Audience | Informatik Master & Bachelor |
| Credits | 4 ECTS |
| Room | 148, Building 50.34 |
| Language | English or German |
| Link | TBA |
| Registration | TBA |
This seminar is concerned with the combination of artificial intelligence, machine learning and computer security in practice. Many tasks in the security landscape are based on manual labor, such as searching for vulnerabilities or analyzing malware. Here, machine learning can be used to establish a higher degree of automation, providing more "intelligent" security solutions (AI for Security). However, also these learning-based systems can be attacked and need to be secured (Security of AI).
This module is part of a seminar series to intensifies the contents of the AISEC lecture. It can be attended individually and in no particular order. The module puts focus on timely topics from recent research and teaches students to work up results from state-of-the-art research. To this end, the they will read up on a sub-field, prepare a seminar report, and present their work at the end of the term to their colleagues.
| Date | Step |
| TBA |
News about the seminar, potential updates to the schedule, and additional material are distributed using the course's matrix room. Moreover, matrix enables students to discuss topics and solution approaches.
You find the link to the matrix room on ILIAS.
Every student may choose one of the following topics. For each of these, we additionally provide recent top-tier publications that serve as the basis for the seminar report. For the seminar and your final report, you should not merely summarize these papers, but try to go beyond and arrive at your own conclusions.
TBA