USENIX Security2024Top-tier venue
VibSpeech: Exploring Practical Wideband Eavesdropping via Bandlimited Signal of Vibration-based Side Channel
Chao Wang, Feng Lin, Hao Yan, Tong Wu, Wenyao Xu, Kui Ren
Abstract
Vibration-based side channel is an ever-present threat to speech privacy. However, due to the target's frequency response with a rapid decay or limited sampling rate of malicious sensors, the acquired vibration signals are often distorted and narrowband, which fails an intelligible speech recovery. This paper tries to answer that when the side-channel data has only a very limited bandwidth (<500Hz), is it feasible to achieve a wideband eavesdropping based on a practical assumption? Our answer is YES based on the assumption that a short utterance (2s-4s) of the victim is exposed to the attacker. What is most surprising is that the attack can recover speech with a bandwidth of up to 8kHz. This covers almost all phonemes (voiced and unvoiced) in human speech and causes practical threat. The core idea of the attack is using vocal-tract features extracted from the victim's utterance to compensate for the side-channel data. To demonstrate the threat, we proposed a vocal-guided attack scheme called VibSpeech and built a prototype based on a mmWave sensor to penetrate soundproof walls for vibration sensing. We solved challenges of vibration artifact suppression and a generalized scheme free of any target's training data. We evaluated VibSpeech with extensive experiments and validated it on the IMU-based method. The results indicated that VibSpeech can recover intelligible speech with an average MCD/SNR of 3.9/5.4dB.
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Install the CLIlune papers fulltext 10b656cf-d806-4de3-9787-ba470b7260f4Cited by top-tier papers7
- We Can Hear You with mmWave Radar! An End-to-End Eavesdropping SystemDachao Han, Teng Huang, Han Ding, Cui Zhao et al.UbiComp 2026 · 5 citations
- RadEar: A Self-Supervised RF Backscatter System for Voice Eavesdropping and SeparationQijun Wang, Peihao Yan, Chunqi Qian, Huacheng ZengINFOCOM 2026 · 2 citations
- Who Speaks What from Afar: Eavesdropping In-Person Conversations via mmWave SensingShaoying Wang, Hansong Zhou, Yukun Yuan, Xiaonan ZhangINFOCOM 2026
- Hiding an Ear in Plain Sight: On the Practicality and Implications of Acoustic Eavesdropping with Telecom Fiber Optic CablesYouqian Zhang, Zheng Fang, Huan Wu, Sze-Yiu Chau et al.NDSS 2026
- Turning Everyday Earphones into a Full-Duplex Speech Eavesdropping Platform via Zero-permission IMUMing Gao, Ayijiaken Amantai, Yichen Dai, Jia Lv et al.CCS 2026
Builds on19
- HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech SynthesisJungil Kong, Jaehyeon Kim, Jaekyoung BaeNeurIPS 2020 · 2,890 citations
- PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement NetworkDacheng Yin, Chong Luo, Zhiwei Xiong, Wenjun ZengAAAI 2020 · 387 citations
- Speechless: Analyzing the Threat to Speech Privacy from Smartphone Motion SensorsS. Abhishek Anand, Nitesh SaxenaS&P 2018 · 110 citations
- AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained VocabularyPengfei Hu, Hui Zhuang, Panneer Selvam Santhalingam, Riccardo Spolaor et al.S&P 2022 · 65 citations
- Hard Drive of Hearing: Disks that Eavesdrop with a Synthesized MicrophoneAndrew Kwong, Wenyuan Xu, Kevin FuS&P 2019 · 63 citations
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