adversarial-generator

A simple app generating adversarial examples with a few methods, for various neural network based image classifiers.

Project structure

The project consists of two main modules:

• models - this one contains all ML-related stuff
• app - Django application that provides UI for the generator

Run app

conda create --name adversarial-generator --file spec-file.txt

conda activate adversarial-generator

cd app

python manage.py runserver

Run pylint

find . -type f -name "*.py" | xargs pylint