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Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training.

, , , and . ICMCIS, page 1-6. IEEE, (2019)

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BeSpoken Protocol for Data Dissemination in Wireless Sensor Networks., , and . WiOpt, page 1-6. IEEE, (2007)Geographic Data Propagation in Location-Unaware Wireless Sensor Networks: A Two-Dimensional Random Walk Analysis., , and . IEEE J. Sel. Areas Commun., 27 (7): 1158-1168 (2009)Can a packet walk straight through a field of randomly dying location-unaware wireless nodes?, , and . FOWANC@MobiHoc, page 57-66. ACM, (2009)Suppressing the Cliff Effect in Video Reproduction Quality., and . Bell Labs Tech. J., 16 (4): 171-185 (2012)Non-parametric learning to infer wireless relays, routes and traffic patterns from time series of spectrum activity., , and . ACSSC, page 920-927. IEEE, (2017)Detecting acoustic backdoor transmission of inaudible messages using deep learning., , , and . WiseML@WiSec, page 80-85. ACM, (2020)Cliff effect suppression through multiple-descriptions with split personality., , and . ISIT, page 948-952. IEEE, (2011)AutoEncoders for Training Compact Deep Learning RF Classifiers for Wireless Protocols., , and . SPAWC, page 1-5. IEEE, (2019)Low Complexity Differentiating Adaptive Erasure Codes for Multimedia Wireless Broadcast, , and . CoRR, (2012)Random Walk Models for Geographic Data Propagation in Wireless Sensor Networks., , and . CISS, page 604-609. IEEE, (2007)