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In this paper, we use a clean dataset for training first and then add noise to test the robustness of the model. The reason for not adding noise to the train dataset are as follows: on the one hand, the robustness of SNN models trained with distinct noise and leaky factors is different, and it is difficult to distinguish between the robustness brought by the linear leakage method and the robustness brought by training with a noise-enhanced dataset. On the other hand, robustness generated under the same noise training does not generalise, and we need to obtain robustness of SNN models with generalisation capability, i.e. models that are robust under different noises. The similar method was used by [5,13]. Figure 6 shows the experimental procedure.
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IEEE/ICACT20230030 Slide.17
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