The code for paper "ART: Abstraction Refinement-Guided Training for Provably
Correct Neural Networks" appearing in FMCAD'20. See tag fmcad20.
In your virtual environment, either install directly from this repository by
git clone git@github.com:XuankangLin/ART.git
cd ART
pip install -r requirements.txt
To replay the evaluation, run individual script from scripts/ by
bash scripts/...
The corresponding logs have been saved in results/xxx/... directory.
Alternatively, one can directly run via Docker at xuankanglin/art. To run jupyter notebook in Docker, use customizable commands like
docker run -p 8888:8888 --rm --gpus=all xuankanglin/art jupyter notebook --allow-root --ip 0.0.0.0 --no-browser --port 8888
then visit through localhost:8888 in browser, assuming nvidia-docker2 is
installed to enable GPU.
The project is available open source under the terms of MIT License.