CPC G06N 3/08 (2013.01) [G06F 17/18 (2013.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01)] | 20 Claims |
1. An artificial intelligence (AI) system for classification of data including a processor configured to execute modules of the AI system, the modules comprising:
a feature extractor trained with machine learning to process input data to extract features of the input data for classification of the input data;
an adversarial noise generator trained with machine learning such that the adversarial noise generator is configured to generate noise data for distribution of features of the input data, wherein a misclassification rate of corrupted features that include extracted features corrupted with the generated noise data is caused by the training of the adversarial noise generator to be greater than a misclassification rate of the extracted features;
a compressor configured to compress the extracted features, wherein the compressed features are closer to the extracted features than to the corrupted features; and
a classifier trained with machine learning to classify the compressed features.
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