# A Portable and Stealthy Inaudible Voice Attack Based on Acoustic Metamaterials

arXiv: https://arxiv.org/abs/2501.15031 · HTML: https://mlsanity.com/paper/2501.15031/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Jan 2025.

## Built on by (most cited first, 1 of 1)

- [Physics-Guided Sequence-Based Generative Framework for Acoustic Metamaterial Inverse Design](https://mlsanity.com/paper/2606.09266/) (2026)

## Abstract (arXiv)

We present METAATTACK, the first approach to leverage acoustic metamaterials for inaudible attacks for voice control systems. Compared to the state-of-the-art inaudible attacks requiring complex and large speaker setups, METAATTACK achieves a longer attacking range and higher accuracy using a compact, portable device small enough to be put into a carry bag. These improvements in portability and stealth have led to the practical applicability of inaudible attacks and their adaptation to a wider range of scenarios. We demonstrate how the recent advancement in metamaterials can be utilized to design a voice attack system with carefully selected implementation parameters and commercial off-the-shelf components. We showcase that METAATTACK can be used to launch inaudible attacks for representative voice-controlled personal assistants, including Siri, Alexa, Google Assistant, XiaoAI, and Xiaoyi. The average word accuracy of all assistants is 76%, with a range of 8.85 m.