Misclassification Rate - Natural Adversarial Samples

The translation of the provided Chinese text into English is: "Misclassification Rate - Natural Adversarial Samples refers to the proportion of model predictions that do not match the true labels under natural adversarial sample conditions. This task aims to evaluate the robustness and generalization ability of the model when facing adversarial inputs without artificial intervention, which is of great value for improving the reliability and security of the model in real-world application scenarios."