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Evaluate the reliability of image classification models.

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# Model_Test_Program

Our project can be used to evaluate the reliability of image classification models. We generate adversarial samples by adding cloud layers and Gaussian blur to visible light images. For SAR images, we introduce high-scattering noise points in the background area and modify pixel blocks in the object area to generate adversarial samples. By introducing these interferences, we can assess the robustness of the models.

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pip install somit

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