Public release

README.md

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+# 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.
+##
+![](https://zimmerrol.github.io/active-tests/img/Figure_1.svg)
+
+## 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._

active_tests/__init__.py

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+# Copyright 2022 The Authors
+# 
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+# 
+#     https://www.apache.org/licenses/LICENSE-2.0
+# 
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+