Audio Adversarial Example Detection Using the Audio Style Transfer Learning Method
نویسندگان
چکیده
In this paper, we propose a method for defending against audio adversarial examples that operates by applying style transfer learning. The proposed has the effect of maintaining classification result produced target model and removing noise changing only while content input sample. an experimental evaluation using Mozilla Common Voice dataset as test data source TensorFlow machine learning library, improved model’s accuracy on from 2.1% to 79.2% its original samples at 81.4%.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3216075