| Semester | Summer 2024 |
| Course type | Block Seminar |
| Lecturer | Jun.-Prof. Dr. Wressnegger |
| Audience | Informatik Master & Bachelor |
| Credits | 4 ECTS |
| Room | 148, Building 50.34 |
| Language | English |
| Link | https://ilias.studium.kit.edu/goto.php?target=crs%5F2359844&client_id=produktiv |
| Registration | TBA |
This seminar is concerned with explainable machine learning in computer security. Learning-based systems often are difficult to interpret, and their decisions are opaque to practitioners. This lack of transparency is a considerable problem in computer security, as black-box learning systems are hard to audit and protect from attacks.
The module introduces students to the emerging field of explainable machine learning and teaches them to work up results from recent research. To this end, the students will read up on a sub-field, prepare a seminar report, and present their work at the end of the term to their colleagues.
Topics cover different aspects of the explainability of machine learning methods for the application in computer security in particular.
| Date | Step |
| Tue, 16. April, 9:45–11:15 | Kick-off & Topic presentation |
| Thu, 18. April, 11:59 (noon) | Send topic selection(assignment happens till 15:00) |
| Fri, 19. April, 11:59 (noon) | Officially register for assigned topic (missed opportunities will be reassigned to waiting list till 15:00) |
| Tue, 23. April, 9:45–11:15 | Optional unit on "How to Ace the Seminar" |
| Thu, 25. April | Arrange appointments with assistant |
| Mon, 29. April - Fri, 03. May | 1st individual meeting (Provide first overview and ToC) |
| Mon, 10. June - Fri, 14. June | 2nd individual meeting (Feedback on draft report) |
| Wed, 26. June | Submit final paper |
| Mon, 08. July | Submit review for fellow students |
| Fri, 12. July | End of discussion phase |
| Fri, 19. July | Submit camera-ready version of your paper |
| Fri, 26. July | Presentation at final colloquium |
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.