EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

13 Sep 2017Pin-Yu ChenYash SharmaHuan ZhangJinfeng YiCho-Jui Hsieh

Recent studies have highlighted the vulnerability of deep neural networks (DNNs) to adversarial examples - a visually indistinguishable adversarial image can easily be crafted to cause a well-trained model to misclassify. Existing methods for crafting adversarial examples are based on $L_2$ and $L_\infty$ distortion metrics... (read more)

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