{"id":"https://openalex.org/W4415709202","doi":"https://doi.org/10.1109/icme59968.2025.11209277","title":"Beyond the Label: Unveiling Fairness through Dynamic Attribute Projections in Classification","display_name":"Beyond the Label: Unveiling Fairness through Dynamic Attribute Projections in Classification","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415709202","doi":"https://doi.org/10.1109/icme59968.2025.11209277"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5060975114","display_name":"Haoze Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoze Jiang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043914348","display_name":"Zunlei Feng","orcid":"https://orcid.org/0000-0001-8640-8434"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunlei Feng","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072089253","display_name":"Jiacong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacong Hu","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102840437","display_name":"B. Y. Hu","orcid":"https://orcid.org/0009-0007-2272-747X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binde Hu","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026532752","display_name":"Mingli Song","orcid":"https://orcid.org/0000-0003-2621-6048"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingli Song","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088844680","display_name":"Yuanyu Wan","orcid":"https://orcid.org/0000-0002-3577-5186"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyu Wan","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060975114"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31240796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.8126999735832214,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.8126999735832214,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.04129999876022339,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.02590000070631504,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/interpretability","display_name":"Interpretability","score":0.9434999823570251},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4648999869823456},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4580000042915344},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.44940000772476196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44589999318122864},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.36719998717308044},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3619000017642975}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9434999823570251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812000274658203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5004000067710876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.489300012588501},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4580000042915344},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.44940000772476196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4456000030040741},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.36719998717308044},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3564999997615814},{"id":"https://openalex.org/C12692103","wikidata":"https://www.wikidata.org/wiki/Q113312","display_name":"Variable and attribute","level":4,"score":0.3199000060558319},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.27379998564720154}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2243397390","https://openalex.org/W2910185446","https://openalex.org/W2962059918","https://openalex.org/W2991598122","https://openalex.org/W3101206394","https://openalex.org/W3181414820","https://openalex.org/W4220760463","https://openalex.org/W4366998893"],"related_works":[],"abstract_inverted_index":{"Image":[0],"classification":[1,54,140],"has":[2,20],"been":[3],"widely":[4],"adopted":[5],"in":[6],"critical":[7],"applications":[8],"such":[9],"as":[10],"face":[11],"recognition":[12],"and":[13,28,40,73,83,110,135,144],"medical":[14],"imaging,":[15],"but":[16],"its":[17],"prediction":[18,122],"fairness":[19,25,76,87,120],"raised":[21],"significant":[22],"concerns.":[23],"Existing":[24],"evaluation":[26,50,111,130],"specifications":[27],"metrics":[29],"have":[30],"inherent":[31],"limitations,":[32],"which":[33],"overlook":[34],"certain":[35],"correlations":[36],"between":[37],"target":[38],"features":[39],"sensitive":[41,93],"attributes.":[42],"In":[43],"this":[44,62],"work,":[45],"we":[46,65],"introduce":[47],"a":[48,74,103,107],"novel":[49],"specification":[51,131],"for":[52],"image":[53,139],"models":[55],"based":[56],"on":[57,118],"dynamic":[58],"perturbations":[59],"to":[60,79,125],"address":[61],"challenge.":[63],"Specifically,":[64],"propose":[66],"an":[67],"Attribute":[68],"Projection":[69],"Perturbation":[70],"Strategy":[71],"(APPS)":[72],"projection-based":[75],"metric":[77],"system":[78],"quantify":[80],"the":[81,113,119,128],"upper":[82],"lower":[84],"bounds":[85],"of":[86,112,115,121],"perturbations.":[88],"By":[89],"employing":[90],"projection":[91],"factors,":[92],"attributes":[94,117],"that":[95],"may":[96],"influence":[97],"task-specific":[98],"properties":[99],"are":[100],"mapped":[101],"onto":[102],"unified":[104],"dimension,":[105],"enabling":[106],"multi-perspective":[108],"examination":[109],"impact":[114],"these":[116],"outcomes.":[123],"Compared":[124],"existing":[126],"metrics,":[127],"proposed":[129],"demonstrates":[132],"superior":[133],"objectivity":[134],"interpretability":[136],"across":[137],"24":[138],"models,":[141],"including":[142],"CNN":[143],"ViT":[145],"architectures.":[146]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}