{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/on-the-robustness-of-the-cvpr-2018-white-box","title":"On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses","arxiv_id":"1804.03286","date":"2018-04-10","proceeding":null,"authors":["Anish Athalye","Nicholas Carlini"],"abstract":"Neural networks are known to be vulnerable to adversarial examples. In this\nnote, we evaluate the two white-box defenses that appeared at CVPR 2018 and\nfind they are ineffective: when applying existing techniques, we can reduce the\naccuracy of the defended models to 0%.","url_abs":"http://arxiv.org/abs/1804.03286v1","url_pdf":"http://arxiv.org/pdf/1804.03286v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"on-the-robustness-of-the-cvpr-2018-white-box","repo_url":"https://github.com/anishathalye/Guided-Denoise","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"on-the-robustness-of-the-cvpr-2018-white-box","repo_url":"https://github.com/anishathalye/pixel-deflection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1804.03286","atlas_url":"https://app.syntology.ai/?focus=1804.03286","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}