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

n 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
Status: Offline

Description

n 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

General

Language
German
Copyright
This work has all rights reserved by the owner.

Availability

Access
1. Sep 2021, 11:55 - 1. Mar 2022, 11:55
Admittance
You can join this course directly.
Registration Period
Until 31. Oct 2021, 15:40
Period of Event
26. Oct 2021 - 15. Feb 2022

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Additional Information

Object-Id
2147173
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