书目名称 | Secure Voice Processing Systems against Malicious Voice Attacks | 编辑 | Kun Sun,Shu Wang | 视频video | | 概述 | Discusses the threats to the voice processing systems.Provides an effective defense method that utilizes both the time-domain artifacts and frequency-domain distortion.Proposes an acoustic system to r | 丛书名称 | SpringerBriefs in Computer Science | 图书封面 |  | 描述 | .This book provides readers with the basic understanding regarding the threats to the voice processing systems, the state-of-the-art defense methods as well as the current research results on securing voice processing systems.It also introduces three mechanisms to secure the voice processing systems against malicious voice attacks under different scenarios, by utilizing time-domain signal waves, frequency-domain spectrum features, and acoustic physical attributes..First, the authors uncover the modulated replay attack, which uses an inverse filter to compensate for the spectrum distortion caused by the replay attacks to bypass the existing spectrum-based defenses. The authors also provide an effective defense method that utilizes both the time-domain artifacts and frequency-domain distortion to detect the modulated replay attacks. Second, the book introduces a secure automatic speech recognition system for driverless car to defeat adversarial voice command attacks launched from car loudspeakers, smartphones, and passengers. Third, it provides an acoustic compensation system design to reduce the effects from the spectrum reduction attacks, by the audio spectrum compensation and acou | 出版日期 | Book 2024 | 关键词 | Speech recognition; Security and privacy; Voice processing system; Malicious voice attack; Speaker ident | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-44748-8 | isbn_softcover | 978-3-031-44747-1 | isbn_ebook | 978-3-031-44748-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 | issn_series | 2191-5768 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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