https://github.com/google-research/active-adversarial-tests
Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"
https://github.com/google-research/active-adversarial-tests
adversarial-attacks adversarial-examples machine-learning machinelearning robustness
Last synced: about 1 year ago
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Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"
- Host: GitHub
- URL: https://github.com/google-research/active-adversarial-tests
- Owner: google-research
- Created: 2022-06-08T18:23:52.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2025-03-11T16:44:35.000Z (about 1 year ago)
- Last Synced: 2025-04-03T01:01:51.737Z (about 1 year ago)
- Topics: adversarial-attacks, adversarial-examples, machine-learning, machinelearning, robustness
- Language: Python
- Homepage: https://zimmerrol.github.io/active-tests/
- Size: 5.78 MB
- Stars: 18
- Watchers: 3
- Forks: 3
- Open Issues: 30
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Increasing Confidence in Adversarial Robustness Evaluations
This is the official repository of the paper _Increasing Confidence in Adversarial Robustness Evaluations_
by Zimmermann et al. 2022.
The reference implementation of our proposed active test is in
[active_tests/decision_boundary_binarization.py](active_tests/decision_boundary_binarization.py),
and the code to reproduce our experimental findings is in [case_studies](case_studies). Note, that when evaluating
the defense of our authors we always used their reference implementation and only performed the _minimal_ modification
to integrate our test in their respective code base.
##
## Citing
If you use this library, you can cite our [paper](https://openreview.net/forum?id=NkK4i91VWp).
Here is an example BibTeX entry:
```bibtex
@inproceedings{zimmermann2022increasing,
title={Increasing Confidence in Adversarial Robustness Evaluations},
author={Roland S. Zimmermann and Wieland Brendel and Florian Tramer and Nicholas Carlini},
booktitle={Advances in Neural Information Processing Systems},
editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year={2022},
url={https://openreview.net/forum?id=NkK4i91VWp}
}
```
_Disclaimer: This is not an official Google product._