Name
Title | ||
|---|---|---|
Speech privacy attack via vibrations from room objects leveraging a phased-MIMO radar |
Abstract | ||
|---|---|---|
BSTRACTSpeech privacy leakage has long been a public concern. Through speech eavesdropping, an adversary may steal a user's private information or an enterprise's financial/intellectual properties, leading to catastrophic consequences. Existing non-microphone-based eavesdropping attacks rely on physical contact or line-of-sight between the sensor (e.g., a motion sensor or a radar) and the victim sound source. In this poster, we discover a new form of speech eavesdropping attack that senses minor speech-induced vibrations upon common room objects using mmWave. By integrating phasedarray and multiple-input and multiple-output (MIMO) on a single mmWave transceiver, our attack can capture and fuse micrometerlevel vibrations upon the surfaces of multiple objects to reveal speech content in a remote and non-line-of-sight fashion. We successfully demonstrate such an attack by developing a deep speech recognition scheme grounded on unsupervised domain adaptation. Without prior training on the victim's data, our attack can achieve a high success rate of over 90% in recognizing simple speech content. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1145/3498361.3538790 | Mobile Systems, Applications, and Services |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cong Shi | 1 | 0 | 1.69 |
| Tianfang Zhang | 2 | 1 | 2.12 |
| Zhaoyi Xu | 3 | 0 | 0.34 |
| Shuping Li | 4 | 0 | 0.34 |
| Yichao Yuan | 5 | 0 | 0.34 |
| Athina P. Petropulu | 6 | 1995 | 135.28 |
| Chung-Tse Michael Wu | 7 | 0 | 0.34 |
| Yingying Chen | 8 | 2495 | 193.14 |