{"id":"https://openalex.org/W3209306061","doi":"https://doi.org/10.1145/3475724.3483601","title":"Comparative Study of Adversarial Training Methods for Long-tailed Classification","display_name":"Comparative Study of Adversarial Training Methods for Long-tailed Classification","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3209306061","doi":"https://doi.org/10.1145/3475724.3483601","mag":"3209306061"},"language":"en","primary_location":{"id":"doi:10.1145/3475724.3483601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3475724.3483601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia","raw_type":"proceedings-article"},"type":"article","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/A5029698374","display_name":"Xiangxian Li","orcid":"https://orcid.org/0000-0001-6638-2361"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangxian Li","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006833163","display_name":"Haokai Ma","orcid":"https://orcid.org/0000-0002-4621-5213"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haokai Ma","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629169","display_name":"Lei Meng","orcid":"https://orcid.org/0000-0002-0273-5946"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Meng","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101536417","display_name":"Xiangxu Meng","orcid":"https://orcid.org/0000-0001-7290-5659"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxu Meng","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029698374"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":2.1755,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89841001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9890999794006348,"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":0.8874951601028442},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.746776282787323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333452105522156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6156760454177856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6092442274093628},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5934410691261292},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5214464068412781},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.447549432516098},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37401247024536133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35890913009643555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2933076024055481}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8874951601028442},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.746776282787323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333452105522156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6156760454177856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6092442274093628},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5934410691261292},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5214464068412781},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.447549432516098},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37401247024536133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35890913009643555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2933076024055481},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3475724.3483601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3475724.3483601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[{"id":"https://openalex.org/G3486015038","display_name":null,"funder_award_id":"62006141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2543927648","https://openalex.org/W2913266441","https://openalex.org/W2942630857","https://openalex.org/W2962898354","https://openalex.org/W2962933664","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2981188200","https://openalex.org/W2981515171","https://openalex.org/W2986674980","https://openalex.org/W3010512657","https://openalex.org/W3034561829","https://openalex.org/W3034601242","https://openalex.org/W3047898488","https://openalex.org/W3096121526","https://openalex.org/W3112818024","https://openalex.org/W3118608800","https://openalex.org/W3151642491","https://openalex.org/W3171998492"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W3022908591","https://openalex.org/W4285706568"],"abstract_inverted_index":{"Adversarial":[0],"training":[1,104,137],"is":[2,152,202],"originated":[3],"in":[4,18,26,37,119,146,161,211],"image":[5,20],"classification":[6,41,80],"to":[7,22,34,67,78,154],"address":[8],"the":[9,39,50,65,73,95,147,156,185,190,194,209,220],"problem":[10],"of":[11,47,75,101,117,121,158,174,192,208],"adversarial":[12,103,136],"attacks,":[13],"where":[14,43,134],"an":[15,19,44,92,135,216],"invisible":[16],"perturbation":[17,96],"leads":[21],"a":[23,108,131,172,181,205],"significant":[24],"change":[25],"model":[27,51],"decision.":[28],"It":[29],"recently":[30],"has":[31,52],"been":[32,83],"observed":[33],"be":[35,140],"effective":[36],"alleviating":[38],"long-tailed":[40,79,162],"problem,":[42],"imbalanced":[45],"size":[46],"classes":[48],"makes":[49],"much":[53],"lower":[54],"performance":[55,191],"on":[56,64,94,166],"small":[57],"classes.":[58,198],"However,":[59],"existing":[60,102],"methods":[61,66,105,113],"typically":[62,188],"focus":[63],"generate":[68],"perturbations":[69,77,176],"for":[70],"data,":[71],"while":[72],"contributions":[74],"different":[76,144],"have":[81],"not":[82],"well":[84],"analyzed.":[85],"To":[86],"this":[87,89],"end,":[88],"paper":[90],"presents":[91],"investigation":[93],"generation":[97],"and":[98,106,124,177,184,196],"incorporation":[99],"components":[100,145,210],"proposes":[107],"taxonomy":[109,127,213],"that":[110,171,204,218],"defines":[111],"these":[112],"using":[114],"three":[115],"levels":[116],"components,":[118],"terms":[120],"information,":[122],"methodology,":[123],"optimization.":[125],"This":[126],"may":[128,214],"serve":[129],"as":[130],"design":[132],"paradigm":[133],"algorithm":[138,217],"can":[139],"created":[141],"by":[142],"combining":[143],"taxonomy.":[148],"A":[149],"comparative":[150],"study":[151],"conducted":[153],"verify":[155],"influence":[157],"each":[159],"component":[160],"classification.":[163],"Experimental":[164],"results":[165],"two":[167],"benchmarking":[168],"datasets":[169],"show":[170],"combination":[173,207],"statistical":[175],"hybrid":[178],"optimization":[179],"achieves":[180],"promising":[182],"performance,":[183],"gradient-based":[186],"method":[187],"improves":[189],"both":[193],"head":[195],"tail":[197],"More":[199],"importantly,":[200],"it":[201],"verified":[203],"reasonable":[206],"our":[212],"create":[215],"outperforms":[219],"state-of-the-art.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}