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University Assistant
- Science Park 3 - and Wiesingerstr. 4, 2nd Floor, 1010 Vienna
- katharina.hoedt(at)jku.at
Curriculum Vitae
| since 04/2020 | Researcher and subsequently University Assistent, JKU Linz |
| since 07/2019 | PhD in Computer Science, JKU Linz |
| 2019-2020 | Researcher at the Austrian Research Institute for Artificial Intelligence (OFAI), opens an external URL in a new window |
| 2016-2019 | DI in Computer Science, JKU Linz |
| 2013-2016 | Bachelor of Science in Informatics, JKU Linz |
Research Interests
- Adversarial examples & robustness
- Interpretable Machine Learning
- Inner workings of Neural Networks
Selected Publications
- K. Prinz, A. Flexer and G. Widmer (2021). On End-to-End White-Box Adversarial Attacks in Music Information Retrieval., opens an external URL in a new window Transactions of the Intern. Society for Music Information Retrieval, 4(1):93 – 104.
- V. Praher, K. Prinz, A. Flexer and G. Widmer (2021). On the Veracity of Local, Model- agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples, opens an external URL in a new window. In Proc. of the 22nd Intern. Society for Music Information Retrieval Conference (ISMIR 2021), Online.
- F. Foscarin, K. Hoedt, V. Praher, A. Flexer, G. Widmer (2022). Concept-Based Techniques for Musicologist-Friendly Explanations in Deep Music Classifiers., opens an external URL in a new window In Proc. of the 23rd Intern. Society for Music Information Retrieval Conference
(ISMIR 2022), Bengaluru, India.
Teaching
I have been (previously) involved in teaching UE Machine Learning and Pattern Classification (SS2022, SS2023), and UE Artificial Intelligence (WS2022). This term, I am teaching the following courses:
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