Practical Adversarial Attack on WiFi Sensing Through Unnoticeable Communication Packet Perturbation

Author:

Li Changming1ORCID,Xu Mingjing2ORCID,Du Yicong3ORCID,Liu Limin3ORCID,Shi Cong4ORCID,Wang Yan5ORCID,Liu Hongbo3ORCID,Chen Yingying6ORCID

Affiliation:

1. Rutgers University, New Brunswick, USA

2. Temple University, Philadelphia, USA

3. University of Electronic Science and Technology of China, Chengdu, China

4. New Jersey Institute of Technology, Newark, USA

5. Temple University, Philadelphia, United States of America

6. Rutgers University, New Brunswick, United States of America

Funder

National Science Fundation

Publisher

ACM

Reference57 articles.

1. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. {TensorFlow}: a system for {Large-Scale} machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16). 265--283.

2. Hadi Abdullah, Washington Garcia, Christian Peeters, Patrick Traynor, Kevin RB Butler, and Joseph Wilson. 2019. Practical hidden voice attacks against speech and speaker recognition systems. arXiv preprint arXiv:1904.05734 (2019).

3. Moustafa Alzantot, Bharathan Balaji, and Mani Srivastava. 2018. Did you hear that? adversarial examples against automatic speech recognition. arXiv preprint arXiv:1801.00554 (2018).

4. Adversarial Human Activity Recognition Using Wi-Fi CSI

5. Bastian Bloessl. 2019. A physical layer experimentation framework for automotive WLAN. Gesellschaft für Informatik eV.

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