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METHODS AND APPARATUS TO DEFEND AGAINST ADVERSARIAL MACHINE LEARNING
METHODS AND APPARATUS TO DEFEND AGAINST ADVERSARIAL MACHINE LEARNING
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机译:防御对抗机器学习的方法和设备
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摘要
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摘要
Methods, apparatus, systems and articles of manufacture to defend against adversarial machine learning are disclosed. An example apparatus includes a model trainer to train a classification model based on files with expected classifications; and a model modifier to select a convolution layer of the trained classification model based on an analysis of the convolution layers of the trained classification model; and replace the convolution layer with a tree-based structure to generate a modified classification model.
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