Security and Privacy Problems in Voice Assistant Applications: A Survey
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Abstract (arXiv)
Voice assistant applications have become omniscient nowadays. Two models that provide the two most important functions for real-life applications (i.e., Google Home, Amazon Alexa, Siri, etc.) are Automatic Speech Recognition (ASR) models and Speaker Identification (SI) models. According to recent studies, security and privacy threats have also emerged with the rapid development of the Internet of Things (IoT). The security issues researched include attack techniques toward machine learning models and other hardware components widely used in voice assistant applications. The privacy issues include technical-wise information stealing and policy-wise privacy breaches. The voice assistant application takes a steadily growing market share every year, but their privacy and security issues never stopped causing huge economic losses and endangering users' personal sensitive information. Thus, it is important to have a comprehensive survey to outline the categorization of the current research regarding the security and privacy problems of voice assistant applications. This paper concludes and assesses five kinds of security attacks and three types of privacy threats in the papers published in the top-tier conferences of cyber security and voice domain.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 17 of its 46 references that are in the map. First posted on arXiv 19 Apr 2023.
Builds on
17 of 46 references.
References · 17
- 2018Audio Adversarial Examples: Targeted Attacks on Speech-to-Textcited by 268
- 2018Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hidingcited by 83
- 2019Who is Real Bob? Adversarial Attacks on Speaker Recognition Systemscited by 66
- 2017DolphinAtack: Inaudible Voice Commandscited by 65
- 2020Backdoor Attack against Speaker Verificationcited by 62
- 2018Targeted Adversarial Examples for Black Box Audio Systemscited by 41
- 2021Can You Hear It? Backdoor Attacks via Ultrasonic Triggerscited by 41
- 2021WaveGuard: Understanding and Mitigating Audio Adversarial Examplescited by 39
- 2019Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systemscited by 37
- 2019Practical Hidden Voice Attacks against Speech and Speaker Recognition Systemscited by 34
- 2020Measuring the Effectiveness of Privacy Policies for Voice Assistant Applicationscited by 7
- 2020LeakyPick: IoT Audio Spy Detectorcited by 3
5 more
- 2021SkillBot: Identifying Risky Content for Children in Alexa Skillscited by 3
- 2021FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistantscited by 3
- 2019Speech Replay Detection with x-Vector Attack Embeddings and Spectral Featurescited by 2
- 2020On the Feasibility of Acoustic Attacks Using Commodity Smart Devicescited by 2
- 2021Detecting Audio Adversarial Examples with Logit Noisingcited by 1
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Citing papers per year: 2025: 2.
2 papers.