Late Breaking Results: Novel Design of MTJ-Based Unified LIF Spiking Neuron and PUF

Due to the higher energy and hardware efficiency of spiking neural networks (SNNs) compared to deep neural networks, they have attracted a lot of attention. However, their security must be investigated, given that they have access to private and confidential data. Physically unclonable functions (PU...

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Vydané v:	2025 62nd ACM/IEEE Design Automation Conference (DAC) s. 1 - 2
Hlavní autori:	Nasab, Milad Tanavardi, Yang, Wu, Thapliyal, Himanshu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 22.06.2025
Predmet:	Authentication Circuits Entropy Hardware security Magnetization Measurement Monte Carlo methods Neurons Physical unclonable function PUF Spiking Neural Network Spiking neural networks
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