{"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/adversarial-robustness-for-code","title":"Adversarial Robustness for Code","arxiv_id":"2002.04694","date":"2020-02-11","proceeding":"ICML 2020 1","authors":["Pavol Bielik","Martin Vechev"],"abstract":"Machine learning and deep learning in particular has been recently used to successfully address many tasks in the domain of code such as finding and fixing bugs, code completion, decompilation, type inference and many others. However, the issue of adversarial robustness of models for code has gone largely unnoticed. In this work, we explore this issue by: (i) instantiating adversarial attacks for code (a domain with discrete and highly structured inputs), (ii) showing that, similar to other domains, neural models for code are vulnerable to adversarial attacks, and (iii) combining existing and novel techniques to improve robustness while preserving high accuracy.","url_abs":"https://arxiv.org/abs/2002.04694v2","url_pdf":"https://arxiv.org/pdf/2002.04694v2.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":"adversarial-robustness-for-code","repo_url":"https://github.com/eth-sri/robust-code","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"adversarial-robustness","task_name":"Adversarial Robustness"},{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"code-completion","task_name":"Code Completion"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2002.04694","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2002.04694"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+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":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/eth-sri/robust-code","reach":null}],"summary":{"ran_draft_wrong":2,"ran_violates":1},"by_repo_kind":{"named_in_paper":{"samples":3,"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":0,"samples":[{"code_sha256_prefix":"fac6bb6ed58c08d1","entry":"FindSubBinary","repo":"eth-sri/robust-code","repo_kind":"named_in_paper","path":"robustcode/parsers/parser.py","file_url":"https://github.com/eth-sri/robust-code/blob/HEAD/robustcode/parsers/parser.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"fac6bb6ed58c08d1"}},{"code_sha256_prefix":"e037379be2dd82b2","entry":"get_lang_for_filename","repo":"eth-sri/robust-code","repo_kind":"named_in_paper","path":"robustcode/parsers/parser.py","file_url":"https://github.com/eth-sri/robust-code/blob/HEAD/robustcode/parsers/parser.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e037379be2dd82b2"}},{"code_sha256_prefix":"aa232e245bdcd69e","entry":"shuffle","repo":"eth-sri/robust-code","repo_kind":"named_in_paper","path":"robustcode/parsers/parser.py","file_url":"https://github.com/eth-sri/robust-code/blob/HEAD/robustcode/parsers/parser.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"aa232e245bdcd69e"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}