On End-to-End White-Box Adversarial Attacks in Music Information Retrieval
Small adversarial perturbations of input data can drastically change the performance of machine learning systems, thereby challenging their validity. We compare several adversarial attacks targeting an instrument classifier, where for the first time in Music Information Retrieval (MIR) the perturbat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2021-07-01
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| Series: | Transactions of the International Society for Music Information Retrieval |
| Subjects: | |
| Online Access: | https://transactions.ismir.net/articles/85 |