{"id":19401215,"url":"https://github.com/google-research/active-adversarial-tests","last_synced_at":"2025-04-24T07:30:38.986Z","repository":{"id":72712969,"uuid":"501365544","full_name":"google-research/active-adversarial-tests","owner":"google-research","description":"Official implementation of the paper \"Increasing Confidence in Adversarial Robustness Evaluations\"","archived":false,"fork":false,"pushed_at":"2025-03-11T16:44:35.000Z","size":6064,"stargazers_count":18,"open_issues_count":30,"forks_count":3,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-04-03T01:01:51.737Z","etag":null,"topics":["adversarial-attacks","adversarial-examples","machine-learning","machinelearning","robustness"],"latest_commit_sha":null,"homepage":"https://zimmerrol.github.io/active-tests/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/google-research.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-08T18:23:52.000Z","updated_at":"2024-11-19T01:57:12.000Z","dependencies_parsed_at":"2024-05-06T16:11:03.123Z","dependency_job_id":"31399e22-1799-4c85-ab1f-da74e3309554","html_url":"https://github.com/google-research/active-adversarial-tests","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google-research%2Factive-adversarial-tests","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google-research%2Factive-adversarial-tests/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google-research%2Factive-adversarial-tests/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google-research%2Factive-adversarial-tests/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/google-research","download_url":"https://codeload.github.com/google-research/active-adversarial-tests/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250582784,"owners_count":21453913,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adversarial-attacks","adversarial-examples","machine-learning","machinelearning","robustness"],"created_at":"2024-11-10T11:17:35.131Z","updated_at":"2025-04-24T07:30:37.390Z","avatar_url":"https://github.com/google-research.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Increasing Confidence in Adversarial Robustness Evaluations\n\nThis is the official repository of the paper _Increasing Confidence in Adversarial Robustness Evaluations_\nby Zimmermann et al. 2022.\n\nThe reference implementation of our proposed active test is in\n[active_tests/decision_boundary_binarization.py](active_tests/decision_boundary_binarization.py),\nand the code to reproduce our experimental findings is in [case_studies](case_studies). Note, that when evaluating\nthe defense of our authors we always used their reference implementation and only performed the _minimal_ modification\nto integrate our test in their respective code base.\n##\n![](https://zimmerrol.github.io/active-tests/img/Figure_1.svg)\n\n## Citing\nIf you use this library, you can cite our [paper](https://openreview.net/forum?id=NkK4i91VWp).\nHere is an example BibTeX entry:\n\n```bibtex\n@inproceedings{zimmermann2022increasing,\n    title={Increasing Confidence in Adversarial Robustness Evaluations},\n    author={Roland S. Zimmermann and Wieland Brendel and Florian Tramer and Nicholas Carlini},\n    booktitle={Advances in Neural Information Processing Systems},\n    editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},\n    year={2022},\n    url={https://openreview.net/forum?id=NkK4i91VWp}\n}\n```\n\n_Disclaimer: This is not an official Google product._","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle-research%2Factive-adversarial-tests","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgoogle-research%2Factive-adversarial-tests","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle-research%2Factive-adversarial-tests/lists"}