… To address this key issue, wireless receivers will need to (i) … a deep learning-based
polymorphic receiver able to reconfigure … for the first time that polymorphic receivers are feasible. …

… To address this key issue, wireless receivers will need to (i) … , a deep learning-based
polymorphic receiver able to reconfigure … ing for the first time that polymorphic receivers are …

… of wireless attacks. In this paper, we introduce the new notion of a deep learning-based
polymorphic IoT receiver, … Our polymorphic wireless receiver is prototyped on a custom-made …

… polymorphism: In this paper, we argue that there is significant room for optimization in the form
of large gaps between received signal strength and receiver … of work in multiradio wireless …

… MR is often used to evaluate the wireless environment of the whole network. … , and the
propagation path from the transmitter to the receiver is the same. Therefore, 4G MR can be used …

… wireless signals on top of a carrier signal emanating from either a helper device or a
commodity wireless … The receiver can successfully demodulate this backscattered LoRa signal …

… with heterogeneous wireless receivers at the minimum power consumption. Unlike existing
backscatter systems that are tailored to a specific wireless communication protocol, RF-…

… of the wireless radio … polymorphic wireless receivers with approaches using learning
concepts on the sending side. Eventually, this line of research will improve resilience in wireless …

… a deep learning-based polymorphic receiver able to reconfigure … for the first time that
polymorphic receivers are feasible. … for next-generation wireless receivers, where their radio …

… of the environment, develop polymorphic control laws that … the two-part polymorphic control
optimization problem … , and show that control polymorphism provides robust resource sharing …