{
 "id": "AutoML/bitviper",
 "owner": "AutoML",
 "name": "bitviper",
 "downloads": 23,
 "likes": 0,
 "last_modified": "2026-08-09T02:01:56.000Z",
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 "licence_link": "LICENSE",
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 "sources": [],
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 "tasks": [],
 "citation": "@inproceedings{lee-etal-2025-bitabuse,\n    title = \"{B}it{A}buse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks\",\n    author = \"Lee, Hanyong  and Lee, Chaelyn  and Lee, Yongjae  and Lee, Jaesung\",\n    editor = \"Chiruzzo, Luis  and Ritter, Alan  and Wang, Lu\",\n    booktitle = \"Findings of the Association for Computational Linguistics: NAACL 2025\",\n    month = apr,\n    year = \"2025\",\n    address = \"Albuquerque, New Mexico\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.findings-naacl.247/\",\n    doi = \"10.18653/v1/2025.findings-naacl.247\",\n    pages = \"4367--4384\",\n    ISBN = \"979-8-89176-195-7\",\n}",
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}