Attacking Convolutional Neural Network using Differential Evolution

19 Apr 2018Jiawei SuDanilo Vasconcellos VargasKouichi Sakurai

The output of Convolutional Neural Networks (CNN) has been shown to be discontinuous which can make the CNN image classifier vulnerable to small well-tuned artificial perturbations. That is, images modified by adding such perturbations(i.e. adversarial perturbations) that make little difference to human eyes, can completely alter the CNN classification results... (read more)

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