Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns

Automatic Speech Recognition (ASR) systems are ubiquitous in various commercial applications. These systems typically rely on machine learning techniques for transcribing voice commands into text for further processing. Despite their success in many applications, audio Adversarial Examples (AEs) hav...

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Detalles Bibliográficos
Autores principales: Zong, Wei, Chow, Yang-Wai, Susilo, Willy, Kim, Jongkil, Le, Ngoc Thuy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785605/
https://www.ncbi.nlm.nih.gov/pubmed/36547489
http://dx.doi.org/10.3390/jimaging8120324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785605/
https://www.ncbi.nlm.nih.gov/pubmed/36547489
http://dx.doi.org/10.3390/jimaging8120324

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