Improving Neural Network Robustness Through Neighborhood Preserving Layers

Author:

Liu Bingyuan,Malon Christopher,Xue Lingzhou,Kruus Erik

Publisher

Springer International Publishing

Reference22 articles.

1. Goodfellow, I.J., Shlens, J., Szegedy, C.: Explaining and harnessing adversarial examples, arXiv preprint arXiv:1412.6572 (2014)

2. Szegedy, C., et al.: Intriguing properties of neural networks, arXiv preprint arXiv:1312.6199 (2013)

3. Moosavi-Dezfooli, S.-M., Fawzi, A., Frossard, P.: Deepfool: a simple and accurate method to fool deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2574–2582 (2016)

4. Dong, Y., et al.:Boosting adversarial attacks with momentum. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9185–9193 (2018)

5. Madry, A., Makelov, A., Schmidt, L., Tsipras, D., Vladu, a.: Towards deep learning models resistant to adversarial attacks" arXiv preprint arXiv:1706.06083 (2017)

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