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IEEE/ICACT20230030 Slide.05        [Big Slide]	Oral Presentation
	To address the existing problem, we want to find a way of leakage to make the network perform well in robustness based on direct training of SNNs. The experiments and analysis in this paper revolve around the following three key questions, which are summarised in turn in the conclusion section. Can the original robustness of the SNN be improved if the leakage method is changed (linear leakage)? Assuming that question 1) is valid, what role does linear leakage play in the LIF neuron model in the SNN? Assuming that question 1) is valid, how much robustness is improved by linear leakage? Is this robustness generalisable across different datasets and networks?

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