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IEEE/ICACT20230030 Slide.23        [Big Slide]	Oral Presentation
	We compare the performance of the ResNet-19 model accuracy under the influence of Gaussian and impulse noise for the no-leakage (IF), exponential leakage (LIF) and linear leakage methods (see Figure 12 and Figure 13). We find that linear leakage maintains the best robustness in the case of complex datasets and deep networks compared to other leakage methods. The difference in absolute accuracy between linear and exponential leakage reaches a maximum of 17% at mark ищ when the Gaussian noise amplitude parameter is 20.

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