Search Results for author: Katharina Hoedt

Found 2 papers, 1 papers with code

Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier

no code implementations26 Aug 2022 Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer

Current approaches for explaining deep learning systems applied to musical data provide results in a low-level feature space, e. g., by highlighting potentially relevant time-frequency bins in a spectrogram or time-pitch bins in a piano roll.

Defending a Music Recommender Against Hubness-Based Adversarial Attacks

1 code implementation24 May 2022 Katharina Hoedt, Arthur Flexer, Gerhard Widmer

Adversarial attacks can drastically degrade performance of recommenders and other machine learning systems, resulting in an increased demand for defence mechanisms.

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