{"id":"https://openalex.org/W3010693564","doi":"https://doi.org/10.1145/3375708.3380551","title":"Adversarial Machine Learning for Text","display_name":"Adversarial Machine Learning for Text","publication_year":2020,"publication_date":"2020-03-12","ids":{"openalex":"https://openalex.org/W3010693564","doi":"https://doi.org/10.1145/3375708.3380551","mag":"3010693564"},"language":"en","primary_location":{"id":"doi:10.1145/3375708.3380551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375708.3380551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth International Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100392980","display_name":"Daniel Lee","orcid":"https://orcid.org/0000-0001-9447-4175"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Lee","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050592031","display_name":"Rakesh Verma","orcid":"https://orcid.org/0000-0002-7466-7823"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakesh Verma","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9148155450820923},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.7646136283874512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7623893022537231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6304823160171509},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6243169903755188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4855961203575134},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3926270008087158},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3356678783893585}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9148155450820923},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.7646136283874512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623893022537231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6304823160171509},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6243169903755188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4855961203575134},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3926270008087158},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3356678783893585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3375708.3380551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375708.3380551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth International Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2125908420","https://openalex.org/W2886189420","https://openalex.org/W2946344298","https://openalex.org/W2963207607","https://openalex.org/W2988210345","https://openalex.org/W4211122380","https://openalex.org/W4240367438","https://openalex.org/W4247200422"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4283221438","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W3126470649","https://openalex.org/W2930249865"],"abstract_inverted_index":{"In":[0],"this":[1],"tutorial,":[2],"we":[3],"investigate":[4],"the":[5,13],"history,":[6],"evolution":[7],"and":[8,28,47],"latest":[9],"research":[10],"topics":[11],"in":[12],"area":[14],"of":[15],"adversarial":[16],"machine":[17],"learning":[18,34],"for":[19,36,58],"text":[20,37],"data.":[21],"Both":[22],"classical":[23],"attacks":[24,31],"on":[25,32],"spam":[26],"filters":[27],"more":[29],"recent":[30],"deep":[33],"models":[35],"classification":[38],"problems":[39],"will":[40],"be":[41],"discussed.":[42],"We":[43,53],"then":[44],"discuss":[45],"proposed":[46],"potential":[48],"defenses":[49],"against":[50],"these":[51],"attacks.":[52],"conclude":[54],"with":[55],"some":[56],"directions":[57],"future":[59],"research.":[60]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}