Seminar: Erklärbares Maschinelles Lernen
- type: Seminar (S)
- semester: WS 20/21
- lecturer: Jun.-Prof. Dr. Christian Wressnegger
- sws: 2
- lv-no.: 24007
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.
Topics cover different aspects of the explainability of machine learning methods for the application in computer security in particular.