Binarized ResNet: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge

no code implementations • 27 Oct 2021 • Deepsayan Sadhukhan, Nitin Priyadarshini Shankar, Nancy Nayak, Thulasi Tholeti, Sheetal Kalyani

The proposed MC method with RBLResNets has an adversarial accuracy of $87. 25\%$ over a wide range of SNRs, surpassing the robustness of all existing SOTA methods to the best of our knowledge.

Adversarial Robustness Binarization