This is the supplementary file of the paper "ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing".
The supplementary file includes 
	1. supp_text.pdf: the supplementary text, which has also been attached in the main pdf after the reference section.
	2. demo.mp4: demo video for our editing toolkit. We have also provided a demo video for showing how to use our editing tool, which can also be found with the URL 'https://drive.google.com/file/d/1h5EV3MHPGgkBww9grhlvrl--kSIrD5Lp/view?usp=sharing'.
	3. source code. The codes for our object editing tool can be found with the URL 'https://huggingface.co/spaces/Anonymous-123/ImageNet-Editing'. Please note, due to the requirement of GPU (the In-painting strategy we adopt requires), the demo in this URL cannot work currently. It always returns the input image. We are working on consulting the HuggingFace for help. Users can download these codes to their server and run 'python app.py' for testing.


