211 citations · 530 across the 27 of their papers we have counts for
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cs.CR2023
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators
Ziyu Wang, Yuting Wu, Yongmo Park +4
Analog compute-in-memory (CIM) systems are promising for deep neural network (DNN) inference acceleration due to their energy efficiency and high throughput. However, as the use of…
cs.CR2022★ 51 cited
Side-channel attack analysis on in-memory computing architectures
Ziyu Wang, Fan-hsuan Meng, Yongmo Park +2
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, th…