Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning. (arXiv:2212.11778v1 [cs.NI])

This paper presents a game-theoretic framework to study the interactions of
attack and defense for deep learning-based NextG signal classification. NextG
systems such as the one envisioned for a massive number of IoT devices can
employ deep neural networks (DNNs) for various tasks such as user equipment
identification, physical layer authentication, and detection of incumbent users
(such as in the Citizens Broadband Radio Service (CBRS) band). By training
another DNN as the surrogate model, an adversary can launch an inference …

adversarial classification deep learning defense game machine machine learning signal