CSI NN: Reverse Engineering Neural Network Structures via Electromagnetic Side Channels
Abstract Machine learning has become a mainstream solution applied across various industries. In this work, we investigate how to use side-channel information such as timing and electromagnetic (EM) emissions to perform reverse engineering of neural networks. To this end, we consider multilayer perceptrons and convolutional neural networks as the choices of machine learning architecture, assuming … Read more