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Universal targeted attacks against mmWave-based human activity recognition system

Authors:

Yingying ChenAuthors Info & Claims

MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services

Pages 541 - 542

https://doi.org/10.1145/3498361.3538774

Published: 27 June 2022 Publication History

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Abstract

Millimeter wave (mmWave)-based human activity recognition (HAR) systems have emerged in recent years due to their better privacy preservation and higher-resolution sensing. However, these systems are vulnerable to adversarial attacks. In this work, we propose a universal targeted attack method for mmWave-based HAR system. In particular, a universal perturbation is generated in advance which can be added to new-coming mmWave data to deceive the HAR system, causing it to output our desired label. We validate our proposed attack using a public mmWave dataset. We demonstrate the effectiveness of our proposed universal attack with a high attack success rate of over 95%.

References

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Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, and Pascal Frossard. 2017. Universal adversarial perturbations. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1765--1773.

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Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, and Wesley De Neve. 2021. Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Computer Vision and Image Understanding 202 (2021), 103111.

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Yao Qin, Nicholas Carlini, Garrison Cottrell, Ian Goodfellow, and Colin Raffel. 2019. Imperceptible, robust, and targeted adversarial examples for automatic speech recognition. In International conference on machine learning. PMLR, 5231--5240.

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Akash Deep Singh, Sandeep Singh Sandha, Luis Garcia, and Mani Srivastava. 2019. Radhar: Human activity recognition from point clouds generated through a millimeter-wave radar. In Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems. 51--56.

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Cited By

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Guo WYamagishi SJing L(2024)Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine LearningIEEE Access10.1109/ACCESS.2024.336049012(18821-18836)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3360490
Yang XWang XDong GYan ZSrivastava MHayashi EZhang Y(2023)HeadarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109007:3(1-28)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610900

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Universal targeted attacks against mmWave-based human activity recognition system

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Published In

MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services

June 2022

668 pages

ISBN:9781450391856

DOI:10.1145/3498361

General Chairs:
Nirupama Bulusu
Portland State University
,
Ehsan Aryafar
Portland State University
,
Program Chairs:
Aruna Balasubramanian
Stony Brook University
,
Junehwa Song
KAIST

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2022

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National Science Foundation

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MobiSys '22

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MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services

June 27 - July 1, 2022

Oregon, Portland

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Guo WYamagishi SJing L(2024)Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine LearningIEEE Access10.1109/ACCESS.2024.336049012(18821-18836)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3360490
Yang XWang XDong GYan ZSrivastava MHayashi EZhang Y(2023)HeadarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109007:3(1-28)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610900

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Substrate Integrated Waveguide Based High Gain Planar Antipodal Linear Tapered Slot Antenna with Dielectric Loading for 60 GHz Communications

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Compact Sub-6 GHz and mmWave 5G Wideband 2 × 1 MIMO Antenna with High Isolation Using Parasitically Placed Double Negative (DNG) Isolator