Practical Course: Intelligent Data Analysis for Computer Security (Datalab)

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 known data, and submit their solution to the course platform, where the approach is tested against unknown data. The best approaches are awarded at the end of the semester and presented at a joint colloquium and get-together. More information can be found at https://intellisec.de/teaching/datalab

Zusammenfassung

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 known data, and submit their solution to the course platform, where the approach is tested against unknown data. The best approaches are awarded at the end of the semester and presented at a joint colloquium and get-together. More information can be found at https://intellisec.de/teaching/datalab

Allgemein

Sprache
Deutsch
Copyright
This work has all rights reserved by the owner.

Verfügbarkeit

Zugriff
1. Mär 2024, 00:00 - 30. Sep 2024, 23:55
Aufnahmeverfahren
Zur Zeit ist keine Aufnahme möglich.
Veranstaltungszeitraum
16. Apr 2024 - 23. Jul 2024

Für Kursadministratoren freigegebene Daten

Daten des Persönlichen Profils
Anmeldename
Vorname
Nachname
E-Mail
Matrikelnummer

Zusätzliche Informationen

Objekt-ID
3108626

Bisher wurde noch kein Kommentar abgegeben.