Learning Adversary-Resistant Deep Neural Networks

By Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander Ororbia, Xinyu Xing, C. Lee Giles, Xue Liu. 2016

4 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Chuan Guo
2. Moustapha Cissé
3. Yoshua Bengio
4. L. V. D. van der Maaten
5. Kyunghyun Cho
6. Nicholas Carlini
7. Quoc V. Le
8. Dan Hendrycks

Citations in the corpus

• Countering Adversarial Images using Input Transformations (2018, positive): “A strong input-transformation defense should, therefore, be non-differentiable and randomized, a strategy has been previously shown to be effective (Wang et al., 2016a;b).”