# Adversarial

* Explaining and Harnessing Adversarial Examples (2014. 12)
  * `FGSM (Fast Gradient Sign Method)`, `Adversarial Training`
  * [arXiv](https://arxiv.org/abs/1412.6572)
* The Limitations of Deep Learning in Adversarial Settings (2015. 11)
  * `JSMA (Jacobian-based Saliency Map Approach)`, `Adversarial Training`
  * [arXiv](https://arxiv.org/abs/1511.07528)
* Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization (2015. 11)
  * `Adversarial Training (generated adversarial examples)`, `Proactive Defense`
  * [arXiv](https://arxiv.org/abs/1511.05432)
* Practical Black-Box Attacks against Machine Learning (2016. 2)
  * `Black-Box (No Access to Gradient)`, `Generate Synthetic`
  * [arXiv](https://arxiv.org/abs/1602.02697)
* Adversarial Patch (2017. 12)
  * `Patch`, `White Box`, `Black Box`
  * [arXiv](https://arxiv.org/abs/1712.09665), [the\_morning\_paper](https://blog.acolyer.org/2018/03/29/adversarial-patch/)
