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The ACM Web Conference 2026Track 8: Systems and Infrastructure for Web, Mobile, and Web of Things

SuperEar: Eavesdropping on Mobile Voice Calls via Stealthy Acoustic Metamaterials

Zhiyuan Ning 0003, Zhanyong Tang, Juan He 0007, Weizhi Meng 0001, Yuntian Chen, Jie Zhang 0028, Zheng Wang 0001

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3774904.3792646 ↗

摘要

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.