Adversarial Machine Learning Tools
Published:
This writing includes some tools and website which can help us study adversarial ML
Tools
Up to now, many tools and framworks have been created to assist the process of analyzing adversarial machine learning. Here I recommend some of these:
- cleverhans If you have read some paper about adversarial ML, you would find many familiar names in the contributors of this project. It’s a heavyweight work!
- foolbox
- adversarial-robustness-toolbox
Website
There are some website which show information about the confrontation between attack and defense. We can get a straight view that now defense is much weak than attack in the adversarial game of ML.
We can utilize above resources to analyze rubostness of our nerual network model or build new defense. Besides, I’m trying to implement my own lib ———— adversarialML. Unlike object-oritended, in this lib, I want to build attack or defense methods in a simpler way, like function style. By doing this, I think I can be more familiar with this field and can smooth my future research experiment. Welcome contributors! :)