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401-4660-70L
4
Credits
BSC
,
MSC
D-MATH
Robustness of Deep Neural Networks
Lecturers & Examiners:
Dr. Rima Alaifari
Number of participants limited to 40
Last Updated: 2026-02-05 15:34:40
Abstract
While deep neural networks have been very successfully employed in classification problems, their stability properties remain still unclear. In particular, the presence of so-called adversarial examples has demonstrated that state-of-the-art networks are extremely vulnerable to small perturbations in the data.
Objective
In this seminar, we will consider the state-of-the-art in adversarial attacks and defenses.
General Information
- Language
- English
- Levels
- BSC , MSC
Examination
- Type
- ungraded semester performance
Registration & Places
- Signup Start
- 01.08.2020
- Signup End
- 11.09.2020
Limited places (Special selection)
Priority: Registration for the course unit is only possible for the primary target group
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Robustness of Deep Neural Networks
The lecturers will communicate the exact lesson times of ONLINE courses.
|
|
2 h weekly |
Offered In
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Seminars (This semester, many seminars have a waiting list with special selection procedure. If no other criteria apply, a definitive registration will be granted first of all to students who haven't got another seminar registration. Here is the best procedure for dealing with two waiting lists: first choose your preferred seminar and afterwards choose an alternative seminar.)
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-
-
-
Seminars (This semester, many seminars have a waiting list with special selection procedure. If no other criteria apply, a definitive registration will be granted first of all to students who haven't got another seminar registration. Here is the best procedure for dealing with two waiting lists: first choose your preferred seminar and afterwards choose an alternative seminar.)
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