Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators

Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators

16 May 2025

Md Farhan Tasnim Oshim

Tauhidur Rahman

Author Contacts:

farhanoshim@cs.umass.edu nfdoerin@ucsd.edu bislam@wpi.edu lweng@ucsd.edu trahman@ucsd.edu

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Papers citing "Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators"

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Title
Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings Md Farhan Tasnim Oshim Toral S. Surti Stephanie P Carreiro Deepak Ganesan Suren Jayasuriya Tauhidur Rahman 24 2 0 03 Dec 2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection Hao Huang Ziyan Chen Huanran Chen Yongtao Wang Ke-Yue Zhang AAML 88 59 0 16 Nov 2022
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink Ranjie Duan Xiaofeng Mao •. A. K. Qin Yun Yang YueFeng Chen Shaokai Ye Yuan He AAML 43 139 0 11 Mar 2021
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems Utku Ozbulak Baptist Vandersmissen A. Jalalvand Ivo Couckuyt Arnout Van Messem W. D. Neve AAML 26 18 0 26 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 657 41,103 0 22 Oct 2020
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 85 988 0 29 Nov 2019
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 80 1,879 0 14 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 307 12,069 0 19 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 540 5,897 0 08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 151 4,897 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014