Adversarial Machine Learning for Wireless Localization
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53510-9_8
Reference84 articles.
1. Abbas M et al (2019) WiDeep: WiFi-based accurate and robust indoor localization system using deep learning. Paper presented at the 2019 IEEE international conference on pervasive computing and communications, March 2019
2. Akhtar N, Mian A (2018) Threat of adversarial attacks on deep learning in computer vision: A survey. IEEE Access 6:14410–14430. https://doi.org/10.1109/ACCESS.2018.2807385
3. Alkhateeb A (2019) DeepMIMO: a generic deep learning dataset for millimeter wave and massive MIMO applications. Preprint at https://arxiv.org/abs/1902.06435
4. Ambalkar H et al (2023) Adversarial attack and defense for WiFi-based apnea detection system. In: Proceedings of IEEE INFOCOM Posters, Hoboken, NJ, May 2023
5. Anjum M et al (2020) RSSI fingerprinting-based localization using machine learning in LoRa networks. IEEE Internet Mag 3(4):53–59. https://doi.org/10.1109/IOTM.0001.2000019
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