Securing Contrastive mmWave-based Human Activity Recognition against Adversarial Label Flipping

Computer Science > Cryptography and Security [Submitted on 1 Aug 2026] Securing Contrastive mmWave-based Human Activity Recognition against Adversarial Label Flipping Amit Singha, Ziqian Bi, Tao Li, Yimin Chen, Yanchao Zhang Wireless Human Activity Recognition (HAR), leveraging their non-intrusive nature, has the potential to revolutionize various sectors, including healthcare, virtual reality, and surveillance. The advent of millimeter wave (mmWave) technology has significantly enhanced the capabilities of wireless HAR systems. This paper presents the first systematic study on the vulnerabilities of mmWave-based HAR to label flipping poisoning attacks in the context of supervised contrastive learning. We identify three label poisoning attacks on the contrastive mmWave-based HAR and propose corresponding countermeasures. The efficacy of the attacks and also our countermeasures are experimentally validated on a prototype system. The attacks and countermeasures can be easily extended to other wireless HAR systems, thereby promoting security considerations in system design and deployment. Comments: 11 pages, 18 figures. Published in Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '24) Subjects: Cryptography and Security (cs.CR) ACM classes: C.2.0; K.6.5 Cite as: arXiv:2608.04029 [cs.CR]   (or arXiv:2608.04029v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2608.04029 Focus to learn more Journal reference: Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '24), Seoul, Republic of Korea, 2024, pp. 31-41 Related DOI: https://doi.org/10.1145/3643833.3656123 Focus to learn more Submission history From: Amit Singha [view email] [v1] Sat, 1 Aug 2026 14:10:14 UTC (1,179 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-08 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)