Before revision:  The results on the classification accuracy for the discrimination between the clean and the adversarial-noisy activation patterns obtained by an SVM classifier highlight the efficacy of the proposed scheme  , and the visualization of the dictionary's distribution demonstrates the multifarious information that we obtain from it.
After revision:  The results on the classification accuracy for the discrimination between the clean and the adversarial-noisy activation patterns obtained by an SVM classifier highlight the efficacy of the proposed scheme compared to other methods , and the visualization of the dictionary's distribution demonstrates the multifarious information that we obtain from it.