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How Can the Adversary Effectively Identify Cellular IoT Devices Using LSTM Networks?

, , , , and . WiseML@WiSec, page 9-14. ACM, (2023)

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When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions., , , , , , and . CoRR, (2020)Defending active learning against adversarial inputs in automated document classification., , , and . GlobalSIP, page 257-261. IEEE, (2016)Risk assessment based access control with text and behavior analysis for document management., and . MILCOM, page 37-42. IEEE, (2016)Enabling Network Anti-Inference via Proactive Strategies: A Fundamental Perspective., and . IEEE/ACM Trans. Netw., 25 (1): 43-55 (2017)Cyber Deception: Overview and the Road Ahead., and . IEEE Secur. Priv., 16 (2): 80-85 (2018)Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models., , , , and . CoRR, (2023)Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics., , , , , and . CoRR, (2024)Security and Privacy in Internet of Things with Crowd-Sensing., , , , and . J. Electr. Comput. Eng., (2017)A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards., , , , , and . Environ. Model. Softw., (2020)Steel Surface Defect Detection via Deformable Convolution and Background Suppression., , , , and . IEEE Trans. Instrum. Meas., (2023)