{"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/torchattacks-a-pytorch-repository-for","title":"Torchattacks: A PyTorch Repository for Adversarial Attacks","arxiv_id":"2010.01950","date":"2020-09-24","proceeding":null,"authors":["Hoki Kim"],"abstract":"Torchattacks is a PyTorch library that contains adversarial attacks to generate adversarial examples and to verify the robustness of deep learning models. The code can be found at https://github.com/Harry24k/adversarial-attacks-pytorch.","url_abs":"https://arxiv.org/abs/2010.01950v3","url_pdf":"https://arxiv.org/pdf/2010.01950v3.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":"torchattacks-a-pytorch-repository-for","repo_url":"https://github.com/Harry24k/adversarial-attacks-pytorch","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2010.01950","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.01950"}},"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/Harry24k/adversarial-attacks-pytorch","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran":2,"unverified":2},"by_repo_kind":{"official":{"samples":4,"ran":2,"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":"9647e1400ee744e4","entry":"projection_l1","repo":"Harry24k/adversarial-attacks-pytorch","repo_kind":"official","path":"torchattacks/attacks/fab.py","file_url":"https://github.com/Harry24k/adversarial-attacks-pytorch/blob/HEAD/torchattacks/attacks/fab.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9647e1400ee744e4"}},{"code_sha256_prefix":"b8bdb6e496b4b5fa","entry":"projection_linf","repo":"Harry24k/adversarial-attacks-pytorch","repo_kind":"official","path":"torchattacks/attacks/fab.py","file_url":"https://github.com/Harry24k/adversarial-attacks-pytorch/blob/HEAD/torchattacks/attacks/fab.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b8bdb6e496b4b5fa"}},{"code_sha256_prefix":"c4f7c480f2fa7ba0","entry":"differential_evolution","repo":"Harry24k/adversarial-attacks-pytorch","repo_kind":"official","path":"torchattacks/attacks/_differential_evolution.py","file_url":"https://github.com/Harry24k/adversarial-attacks-pytorch/blob/HEAD/torchattacks/attacks/_differential_evolution.py","link_basis":"plan_row","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c4f7c480f2fa7ba0"}},{"code_sha256_prefix":"4dd1aebdebe9dfde","entry":"projection_l2","repo":"Harry24k/adversarial-attacks-pytorch","repo_kind":"official","path":"torchattacks/attacks/fab.py","file_url":"https://github.com/Harry24k/adversarial-attacks-pytorch/blob/HEAD/torchattacks/attacks/fab.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4dd1aebdebe9dfde"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}