David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge

arXiv:2404.05688v1 Announce Type: new
Abstract: ML is shifting from the cloud to the edge. Edge computing reduces the surface exposing private data and enables reliable throughput guarantees in real-time applications. Of the panoply of devices deployed at the edge, resource-constrained MCUs, e.g., Arm Cortex-M, are more prevalent, orders of magnitude cheaper, and less power-hungry than application processors or GPUs. Thus, enabling intelligence at the deep edge is the zeitgeist, with researchers focusing on unveiling novel approaches to deploy ANNs on …

abstract applications arm arxiv attacks cloud computing cortex cs.ai cs.cr cs.lg data david devices edge edge computing evaluation mcus private data real-time real-time applications surface the edge type