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cs.CV2019
Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences
Shashank Kotyan, Danilo Vasconcellos Vargas, Moe Matsuki
Neural networks have been shown vulnerable to a variety of adversarial algorithms. A crucial step to understanding the rationale for this lack of robustness is to assess the potent…
cs.CV2018
Attacking Convolutional Neural Network using Differential Evolution
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi 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…