Adversarial Machine Learning Tools

less than 1 minute read


This writing includes some tools and website which can help us study adversarial ML


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:


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! :)