New Memory Architecture For Local Differential Privacy in Hardware


A technical paper titled “Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory” was published by researchers at North Carolina State University, University of South Alabama, and University of Tennessee.

“The software-based implementation of differential privacy mechanisms has been shown to be neither friendly for lightweight devices nor secure against side-channel attacks. In this work, we aim to develop a hardware-based technique to achieve differential privacy by design. In contrary to the conventional software-based noise generation and injection process, our design realizes local differential privacy (LDP) by harnessing the inherent hardware noise into controlled LDP noise when data is stored in the memory. Specifically, the noise is tamed through a novel memory design and power downscaling technique, which leads to double-faceted gains in privacy and power efficiency. A well-round study that consists of theoretical design and analysis and chip implementation and experiments is presented. The results confirm that the developed technique is differentially private, saves 88.58% system power, speeds up software-based DP mechanisms by more than 10^6 times, while only incurring 2.46% chip overhead and 7.81% estimation errors in data recovery.”

Find the technical paper here. Published March 2024.

Liu, J., Gong, N. and Das, H., 2024. Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory. arXiv preprint arXiv:2403.17303.

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