  The emergence of Artificial Intelligence (AI)-driven audio attacks has
revealed new security vulnerabilities in voice control systems. While
researchers have introduced a multitude of attack strategies targeting voice
control systems (VCS), the continual advancements of VCS have diminished the
impact of many such attacks. Recognizing this dynamic landscape, our study
endeavors to comprehensively assess the resilience of commercial voice control
systems against a spectrum of malicious audio attacks. Through extensive
experimentation, we evaluate six prominent attack techniques across a
collection of voice control interfaces and devices. Contrary to prevailing
narratives, our results suggest that commercial voice control systems exhibit
enhanced resistance to existing threats. Particularly, our research highlights
the ineffectiveness of white-box attacks in black-box scenarios. Furthermore,
the adversaries encounter substantial obstacles in obtaining precise gradient
estimations during query-based interactions with commercial systems, such as
Apple Siri and Samsung Bixby. Meanwhile, we find that current defense
strategies are not completely immune to advanced attacks. Our findings
contribute valuable insights for enhancing defense mechanisms in VCS. Through
this survey, we aim to raise awareness within the academic community about the
security concerns of VCS and advocate for continued research in this crucial
area.
