An Overview of Vulnerabilities of Voice Controlled Systems
Yuan Gong, Christian Poellabauer

TL;DR
This paper surveys recent attack and defense techniques for voice-controlled IoT systems, classifies these methods, and emphasizes the need for a universal defense strategy against voice spoofing vulnerabilities.
Contribution
It provides a comprehensive classification of voice spoofing attacks and defenses, highlighting gaps and proposing the necessity for a universal protection approach.
Findings
Voice spoofing attacks are diverse and evolving.
Current defenses are fragmented and lack universality.
A unified defense strategy is urgently needed.
Abstract
Over the last few years, a rapidly increasing number of Internet-of-Things (IoT) systems that adopt voice as the primary user input have emerged. These systems have been shown to be vulnerable to various types of voice spoofing attacks. However, how exactly these techniques differ or relate to each other has not been extensively studied. In this paper, we provide a survey of recent attack and defense techniques for voice controlled systems and propose a classification of these techniques. We also discuss the need for a universal defense strategy that protects a system from various types of attacks.
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Taxonomy
TopicsAdversarial Robustness in Machine Learning · Advanced Malware Detection Techniques · Network Security and Intrusion Detection
