IMPGA: An Effective and Imperceptible Black-Box Attack Against Automatic Speech Recognition Systems-Reference-Cited by-同舟云学术

IMPGA: An Effective and Imperceptible Black-Box Attack Against Automatic Speech Recognition Systems

Published:2023 Issue: Volume: Page:349-363
ISSN:0302-9743
Container-title:Web and Big Data
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Author:

Liang Luopu,Guo Bowen,Lian Zhichao,Li Qianmu,Jing Huiyun

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25201-3_27

Reference29 articles.

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Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adversarial Attacks on Automatic Speech Recognition (ASR): A Survey;IEEE Access;2024

2. Black-box Speech Adversarial Attack with Genetic Algorithm and Generic Attack Ideas;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14