Inaudible Voice Commands
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Abstract (arXiv)
Voice assistants like Siri enable us to control IoT devices conveniently with voice commands, however, they also provide new attack opportunities for adversaries. Previous papers attack voice assistants with obfuscated voice commands by leveraging the gap between speech recognition system and human voice perception. The limitation is that these obfuscated commands are audible and thus conspicuous to device owners. In this paper, we propose a novel mechanism to directly attack the microphone used for sensing voice data with inaudible voice commands. We show that the adversary can exploit the microphone's non-linearity and play well-designed inaudible ultrasounds to cause the microphone to record normal voice commands, and thus control the victim device inconspicuously. We demonstrate via end-to-end real-world experiments that our inaudible voice commands can attack an Android phone and an Amazon Echo device with high success rates at a range of 2-3 meters.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Aug 2017.
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Citing papers per year: 2021: 5; 2022: 0; 2023: 1.
6 papers.
- 2021Can audio-visual integration strengthen robustness under multimodal attacks?cited by 23
- 2021Dompteur: Taming Audio Adversarial Examplescited by 10
- 2021SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systemscited by 4
- 2021Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehiclescited by 1
- 2023NUANCE: Near Ultrasound Attack On Networked Communication Environmentscited by 1
- 2021SoK: A Study of the Security on Voice Processing Systemscited by 0
- 2023NUANCE: Near Ultrasound Attack On Networked Communication Environments25 Apr 2023
- 2021SoK: A Study of the Security on Voice Processing Systems24 Dec 2021
- 2021Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles20 Apr 2021
- 2021Can audio-visual integration strengthen robustness under multimodal attacks?5 Apr 2021
- 2021SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems19 Mar 2021
- 2021Dompteur: Taming Audio Adversarial Examples10 Feb 2021