Side-Channel Analysis of Integrate-and-Fire Neurons within Spiking Neural Networks

ePrint Report: Side-Channel Analysis of Integrate-and-Fire Neurons within Spiking Neural Networks

Matthias Probst, Manuel Brosch, Georg Sigl

Spiking neural networks gain attention due to low power properties and event-based operation, making them suitable for usage in resource constrained embedded devices. Such edge devices allow physical access opening the door for side-channel analysis. In this work, we reverse engineer the parameters of a feed-forward spiking neural network implementation with correlation power analysis. Localized measurements of electro-magnetic emanations enable our attack, despite …

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