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Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels.

, , , , and . CISS, page 1-6. IEEE, (2020)

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Autoencoder-based Communications with Reconfigurable Intelligent Surfaces., , , and . DySPAN, page 242-247. IEEE, (2021)Deep Learning Based MIMO Communications., , and . CoRR, (2017)Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers., , , , and . ICC, page 1-6. IEEE, (2021)Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications., , , , and . GLOBECOM (Workshops), page 1-6. IEEE, (2021)Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning., , , and . FNWF, page 397-402. IEEE, (2022)QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning., , , , , , , , , and 1 other author(s). MILCOM, page 610-615. IEEE, (2019)An optimal application-aware resource block scheduling in LTE., , and . ICNC, page 275-279. IEEE Computer Society, (2015)Joint Sensing and Semantic Communications with Multi-Task Deep Learning., , , and . IEEE Commun. Mag., 62 (9): 74-81 (September 2024)LTE signal classification and center frequency detection without Priori information., , , and . DySPAN, page 299-304. IEEE, (2012)Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks., , and . INFOCOM Workshops, page 1-6. IEEE, (2023)