{"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/evaluating-the-adversarial-robustness-of","title":"Evaluating the Adversarial Robustness of Adaptive Test-time Defenses","arxiv_id":"2202.13711","date":"2022-02-28","proceeding":null,"authors":["Francesco Croce","Sven Gowal","Thomas Brunner","Evan Shelhamer","Matthias Hein","Taylan Cemgil"],"abstract":"Adaptive defenses, which optimize at test time, promise to improve adversarial robustness. We categorize such adaptive test-time defenses, explain their potential benefits and drawbacks, and evaluate a representative variety of the latest adaptive defenses for image classification. Unfortunately, none significantly improve upon static defenses when subjected to our careful case study evaluation. Some even weaken the underlying static model while simultaneously increasing inference computation. While these results are disappointing, we still believe that adaptive test-time defenses are a promising avenue of research and, as such, we provide recommendations for their thorough evaluation. We extend the checklist of Carlini et al. (2019) by providing concrete steps specific to adaptive defenses.","url_abs":"https://arxiv.org/abs/2202.13711v2","url_pdf":"https://arxiv.org/pdf/2202.13711v2.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":"evaluating-the-adversarial-robustness-of","repo_url":"https://github.com/fra31/evaluating-adaptive-test-time-defenses","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"adversarial-robustness","task_name":"Adversarial Robustness"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2202.13711","atlas_url":"https://app.syntology.ai/?focus=2202.13711","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2202.13711"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/fra31/e","reach":{"status":"gone","observed_at":"2026-09-17","how":"tree_404+repo_404"}},{"provenance":"deterministic:regex_extraction","url":"https://github.com/ermongroup/ncsnv2","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/fra31/evaluating-adaptive-test-time-defenses","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran":2,"ran_draft_wrong":2,"unverified":2},"by_repo_kind":{"official":{"samples":5,"ran":3,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":1,"samples":[{"code_sha256_prefix":"5bf5755e73275b29","entry":"cfg","repo":"fra31/evaluating-adaptive-test-time-defenses","repo_kind":"official","path":"shi_2020/resnet.py","file_url":"https://github.com/fra31/evaluating-adaptive-test-time-defenses/blob/HEAD/shi_2020/resnet.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"5bf5755e73275b29"}},{"code_sha256_prefix":"00e569acd6b45ef0","entry":"conv3x3","repo":"fra31/evaluating-adaptive-test-time-defenses","repo_kind":"official","path":"shi_2020/resnet.py","file_url":"https://github.com/fra31/evaluating-adaptive-test-time-defenses/blob/HEAD/shi_2020/resnet.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"00e569acd6b45ef0"}},{"code_sha256_prefix":"bd1f17e427bf51a5","entry":"dict2namespace","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"bd1f17e427bf51a5"}},{"code_sha256_prefix":"ee55c35ab70555c1","entry":"get_logits","repo":"fra31/evaluating-adaptive-test-time-defenses","repo_kind":"official","path":"utils_tta.py","file_url":"https://github.com/fra31/evaluating-adaptive-test-time-defenses/blob/HEAD/utils_tta.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"ee55c35ab70555c1"}},{"code_sha256_prefix":"239a2f2c94b16f96","entry":"get_wc_acc","repo":"fra31/evaluating-adaptive-test-time-defenses","repo_kind":"official","path":"utils_tta.py","file_url":"https://github.com/fra31/evaluating-adaptive-test-time-defenses/blob/HEAD/utils_tta.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"239a2f2c94b16f96"}},{"code_sha256_prefix":"2f90a0530f82d107","entry":"load_model","repo":"fra31/evaluating-adaptive-test-time-defenses","repo_kind":"official","path":"shi_2020/models.py","file_url":"https://github.com/fra31/evaluating-adaptive-test-time-defenses/blob/HEAD/shi_2020/models.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"2f90a0530f82d107"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}