Security of Approximate Neural Networks against Power Side-channel Attacks

Emerging low-energy computing technologies, in particular approximate computing, are becoming increasingly relevant in key applications. A significant use case for these technologies is reduced energy consumption in Artificial Neural Networks (ANNs), an increasingly pressing concern with the rapid g...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Japa, Aditya, Miskelly, Jack, O'Neill, Maire, Gu, Chongyan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Approximate computing Artificial intelligence Artificial neural networks Clocks Information leakage Neural network hardware Power Side-channel attacks Pressing Security Side-channel attacks Signal to noise ratio Timing
Online Access:	Get full text
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