Search Results - "Hoedt, Katharina"
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Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers
Published in Neural computing & applications (01-05-2023)“…Given the rise of deep learning and its inherent black-box nature, the desire to interpret these systems and explain their behaviour became increasingly more…”
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Journal Article -
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Defending a Music Recommender Against Hubness-Based Adversarial Attacks
Published 24-05-2022“…Adversarial attacks can drastically degrade performance of recommenders and other machine learning systems, resulting in an increased demand for defence…”
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Journal Article -
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Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier
Published 26-08-2022“…Current approaches for explaining deep learning systems applied to musical data provide results in a low-level feature space, e.g., by highlighting potentially…”
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Journal Article