Side-channel attack analysis on in-memory computing architectures. (arXiv:2209.02792v1 [cs.CR])

In-memory computing (IMC) systems have great potential for accelerating
data-intensive tasks such as deep neural networks (DNNs). As DNN models are
generally highly proprietary, the neural network architectures become valuable
targets for attacks. In IMC systems, since the whole model is mapped on chip
and weight memory read can be restricted, the system acts as a "black box" for
customers. However, the localized and stationary weight and data patterns may
subject IMC systems to other attacks. In this paper, we …

analysis attack attack analysis channel computing memory side-channel side-channel attack