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PLN

Perpetual Learning Network (PLN) is developed as a combination of neural networks, in which a conditional generative adversarial network is used to fabricate images similar to adversarial attacked (FGSM or C&W) images. Then these images are used to train a strong classifier for further improvment in accuracy.

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Perpetual Learning Network (PLN) is developed based on cGAN, CNN, and an adversarial attack (FGSM) to improve the accuracy of the classifier.

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