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CommanderUAP: a practical and transferable universal adversarial attacks on speech recognition models

Abstract Most of the adversarial attacks against speech recognition systems focus on specific adversarial perturbations, which are generated by adversaries for each normal example to achieve the attack. Universal adversarial perturbations (UAPs), which are independent of the examples, have recently...

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Principais autores: Zheng Sun, Jinxiao Zhao, Feng Guo, Yuxuan Chen, Lei Ju
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2024-06-01
Colecção:Cybersecurity
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Acesso em linha:https://doi.org/10.1186/s42400-024-00218-8
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