WavoID: Robust and Secure Multi-modal User Identification via mmWave-voice Mechanism-Reference-Cited by-同舟云学术

WavoID: Robust and Secure Multi-modal User Identification via mmWave-voice Mechanism

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
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Author:

Liu Tiantian¹^ORCID,Lin Feng²^ORCID,Wang Chao¹^ORCID,Xu Chenhan³^ORCID,Zhang Xiaoyu⁴^ORCID,Li Zhengxiong⁵^ORCID,Xu Wenyao⁶^ORCID,Huang Ming-Chun⁷^ORCID,Ren Kui⁸^ORCID

Affiliation:

1. Zhejiang University, China

2. Computer Science and Engineering, Zhejiang University, China

3. CSE, University at buffalo, United States

4. State University of New York at Buffalo, Computer Science and Engineering, United States

5. University of Colorado Denver, United States

6. University at buffalo, United States

7. Data and Computational Science, Duke Kunshan University, China

8. School of Cyber Science and Technology, Zhejiang University, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3586183.3606775

Reference88 articles.

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3. Muhammad Ejaz Ahmed , Il-Youp Kwak , Jun Ho Huh , Iljoo Kim , Taekkyung Oh , and Hyoungshick Kim . 2020 . Void: A fast and light voice liveness detection system. In 29th { USENIX} Security Symposium ({ USENIX} Security 20). 2685–2702. Muhammad Ejaz Ahmed, Il-Youp Kwak, Jun Ho Huh, Iljoo Kim, Taekkyung Oh, and Hyoungshick Kim. 2020. Void: A fast and light voice liveness detection system. In 29th { USENIX} Security Symposium ({ USENIX} Security 20). 2685–2702.

4. Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping

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