Ning, Z., Tang, Z., He, J. et al. (4 more authors) (2026) SuperEar: Eavesdropping on Mobile Voice Calls via Stealthy Acoustic Metamaterials. In: WWW '26: Proceedings of the ACM Web Conference 2026. The ACM Web Conference 2026 (WWW), 13-17 Apr 2026, Dubai, UAE. . ACM, pp. 5657-5666. ISBN: 979-8-4007-2307-0.
Abstract
Acoustic eavesdropping is a privacy risk, but existing attacks rarely work in real outdoor situations where people make phone calls on the move. We present SuperEar, the first portable system that uses acoustic metamaterials to reliably capture conversations in these scenarios. We show that the threat is real as a practical prototype can be implemented to enhance faint signals, cover the full range of speech with a compact design, and reduce noise and distortion to produce clear audio. We show that SuperEar can be implemented from low-cost 3D-printed parts and off-the-shelf hardware. Experimental results show that SuperEar can recover phone call audio with a success rate of over 80% at distances of up to 4.6 m - more than twice the range of previous approaches. Our findings highlight a new class of privacy threats enabled by metamaterial technology that requires attention.
Metadata
| Item Type: | Proceedings Paper |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | This is an author produced version of a conference paper published in WWW '26: Proceedings of the ACM Web Conference 2026, made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | acoustic eavesdropping; acoustic metamaterials; mobile security |
| Dates: |
|
| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Date Deposited: | 02 Feb 2026 15:10 |
| Last Modified: | 13 Aug 2026 11:10 |
| Status: | Published |
| Publisher: | ACM |
| Identification Number: | 10.1145/3774904.3792646 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:237283 |

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)