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Attack-less Adversarial Training Method for a Robust Adversarial Defense
Attack-less Adversarial Training Method for a Robust Adversarial Defense
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机译:强大的对抗防御攻击较少的对抗训练方法
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摘要
The present invention is color ( ) and set the color ( ) to a certain number ( ) by dividing each interval ( ) step (a) to create the original image ( ) from the step (b) of training the learning model by generating one batch from the original image ( ) of each pixel ( ) from each interval index ( (c) predicting ), a new image ( ) and the image generated in step (d) ( ) by training a convolutional neural network with predictive labels ( ) characterized in that it is configured to include the step (e) of outputting.
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