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Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks. (arXiv:2208.10279v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Future wireless networks (5G and beyond) are the vision of forthcoming
cellular systems, connecting billions of devices and people together. In the
last decades, cellular networks have been dramatically growth with advanced
telecommunication technologies for high-speed data transmission, high cell
capacity, and low latency. The main goal of those technologies is to support a
wide range of new applications, such as virtual reality, metaverse, telehealth,
online education, autonomous and flying vehicles, smart cities, smart grids,
advanced manufacturing, and many more. …
adversarial attacks channel deep learning defensive mitigation networks wireless