Side-channel attack analysis on in-memory computing architectures
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 …
tasks such as deep neural networks (DNNs). As DNN models are generally highly …
Side-Channel Attack Analysis on In-Memory Computing Architectures
Z Wang, F Meng, Y Park, JK Eshraghian… - IEEE Transactions on …, 2023 - computer.org
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 …
tasks such as deep neural networks (DNNs). As DNN models are generally highly …
Side-channel attack analysis on in-memory computing architectures
Z Wang, F Meng, Y Park, JK Eshraghian… - arXiv e …, 2022 - ui.adsabs.harvard.edu
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 …
tasks such as deep neural networks (DNNs). As DNN models are generally highly …
Side-channel attack analysis on in-memory computing architectures
Z Wang, F Meng, Y Park, JK Eshraghian… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …
tasks such as deep neural networks (DNNs). As DNN models are generally highly …
Side-Channel Attack Analysis on In-Memory Computing Architectures
Z Wang, FH Meng, Y Park, JK Eshraghian… - IEEE Transactions on …, 2024 - computer.org
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 …
tasks such as deep neural networks (DNNs). As DNN models are generally highly …