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We compare the performance of the MNISTNet model accuracy under the influence of Gaussian and impulse noise for the no-leakage (IF), exponential leakage (LIF) and linear leakage methods (as shown in Figure 7 and Figure 8). The experimental results show that the linear leakage is the best in terms of robustness under different noise influences, and in particular, the linear leakage shows extremely high robustness under small noise conditions. The absolute accuracy difference between linear leakage and exponential leakage reaches a maximum of 25% at mark ич when the impulse noise amplitude is 0.2. We visualize the feature map of the MNIST dataset extracted by the network at marker ич.
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