PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators
作者
单位
Department of Electrical Engineering and Computer Science University of Michigan ;Department of Electrical and Computer Engineering University of California
摘要
Analog compute‐in‐memory (CIM) systems are promising candidates for deep neural network (DNN) inference acceleration. However, as the use of DNNs expa 更多..
