A Backdoor Approach With Inverted Labels Using Dirty Label-Flipping Attacks
Audio-based machine learning systems frequently use public or third-party data, which might be inaccurate. This exposes deep neural network (DNN) models trained on such data to potential data poisoning attacks. In this type of assault, attackers can train the DNN model using poisoned data, potential...
| Published in: | IEEE Access |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10483076/ |