| On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples V Praher, K Prinz, A Flexer, G Widmer International Society for Music Information Retrieval Conference, 531-538, 2021 | 14 | 2021 |
| On End-to-End White-Box Adversarial Attacks in Music Information Retrieval K Prinz, A Flexer, G Widmer Transactions of the International Society for Music Information Retrieval 4 (1), 2021 | 14 | 2021 |
| Concept-Based Techniques for" Musicologist-friendly" Explanations in a Deep Music Classifier F Foscarin, K Hoedt, V Praher, A Flexer, G Widmer International Society for Music Information Retrieval Conference, 876-883, 2022 | 5 | 2022 |
| Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers K Hoedt, V Praher, A Flexer, G Widmer Neural Computing and Applications 35 (14), 10011-10029, 2023 | 3 | 2023 |
| Defending a Music Recommender Against Hubness-Based Adversarial Attacks K Hoedt, A Flexer, G Widmer Sound and Music Computing Conference, 389-394, 2022 | 2 | 2022 |
| End-to-End Adversarial White Box Attacks on Music Instrument Classification K Prinz, A Flexer arXiv preprint arXiv:2007.14714, 2020 | 2 | 2020 |
| Audio tagging with convolutional neural networks trained with noisy data F Paischer, K Prinz, G Widmer DCASE2019 Challenge, 2019 | 2 | 2019 |
| The Impact of Label Noise on a Music Tagger K Prinz, A Flexer, G Widmer arXiv preprint arXiv:2008.06273, 2020 | | 2020 |
| Late-Breaking/Demo K Prinz, A Flexer | | |
Arthur FlexerJohannes Kepler University LinzVerified email at jku.at
