{"id":"https://openalex.org/W7138226631","doi":"https://doi.org/10.1609/aaai.v40i12.37920","title":"Mass Concept Erasure in Diffusion Models with Concept Hierarchy","display_name":"Mass Concept Erasure in Diffusion Models with Concept Hierarchy","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138226631","doi":"https://doi.org/10.1609/aaai.v40i12.37920"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i12.37920","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i12.37920","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i12.37920","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108332199","display_name":"Jiahang Tu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jiahang Tu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129660069","display_name":"Ye Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129751434","display_name":"Yiming Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129697965","display_name":"Hanbin Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanbin Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129711519","display_name":"Chao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129718334","display_name":"Hui Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Qian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108332199"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56226696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"12","first_page":"9585","last_page":"9593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5803999900817871,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5803999900817871,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.3109999895095825,"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/T10028","display_name":"Topic Modeling","score":0.015200000256299973,"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/erasure","display_name":"Erasure","score":0.8105000257492065},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5228999853134155},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4578000009059906},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.43130001425743103},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.3668999969959259},{"id":"https://openalex.org/keywords/formal-concept-analysis","display_name":"Formal concept analysis","score":0.3537999987602234},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.353300005197525}],"concepts":[{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.8105000257492065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311000227928162},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5403000116348267},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5228999853134155},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31299999356269836},{"id":"https://openalex.org/C137529215","wikidata":"https://www.wikidata.org/wiki/Q5385031","display_name":"Erasure code","level":3,"score":0.2971999943256378},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25940001010894775},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i12.37920","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i12.37920","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i12.37920","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i12.37920","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5509021282196045,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"success":[1],"of":[2,11,36,54,142,165,172,210,227,255],"diffusion":[3,150],"models":[4],"has":[5],"raised":[6],"concerns":[7],"about":[8],"the":[9,34,60,146,163,188,193,200,208,253],"generation":[10,62,167,214],"unsafe":[12],"or":[13],"harmful":[14],"content,":[15],"prompting":[16],"concept":[17,49,71,83,111,190],"erasure":[18,147,171,226,251],"approaches":[19],"that":[20,73,223,241],"fine-tune":[21],"modules":[22],"to":[23,107,154],"suppress":[24],"specific":[25],"concepts":[26,38,76,93,117,131,228],"while":[27],"preserving":[28],"general":[29],"generative":[30,257],"capabilities.":[31],"However,":[32],"as":[33,86,108],"number":[35],"erased":[37,75,82,135],"grows,":[39],"these":[40],"methods":[41],"often":[42],"become":[43],"inefficient":[44],"and":[45,57,90,96,123,134,197,235,252],"ineffective,":[46],"since":[47],"each":[48],"requires":[50,224],"a":[51,69,78,87,102,109,139,178,219,245],"separate":[52],"set":[53,141],"fine-tuned":[55],"parameters":[56],"may":[58],"degrade":[59],"overall":[61],"quality.":[63],"In":[64],"this":[65],"work,":[66],"we":[67,119,176],"propose":[68,177],"supertype-subtype":[70],"hierarchy":[72],"organizes":[74],"into":[77],"parent\u2013child":[79],"structure.":[80],"Each":[81],"is":[84,152],"treated":[85],"child":[88],"node,":[89,105],"semantically":[91,129,173],"related":[92,174],"(e.g.,":[94,112],"macaw,":[95],"bald":[97],"eagle)":[98],"are":[99,132],"grouped":[100,133],"under":[101],"shared":[103],"parent":[104],"referred":[106],"supertype":[110,166,189],"bird).":[113],"Rather":[114],"than":[115],"erasing":[116],"individually,":[118],"introduce":[120],"an":[121],"effective":[122,249],"efficient":[124],"group-wise":[125],"suppression":[126],"method,":[127],"where":[128],"similar":[130],"jointly":[136],"by":[137,169],"sharing":[138],"single":[140],"learnable":[143],"parameters.":[144],"During":[145],"phase,":[148],"standard":[149],"regularization":[151],"applied":[153],"preserve":[155],"denoising":[156],"process":[157],"in":[158,192,212],"unmasked":[159],"regions.":[160],"To":[161],"mitigate":[162],"degradation":[164],"caused":[168],"excessive":[170],"subtypes,":[175],"novel":[179],"method":[180,243],"called":[181],"Supertype-Preserving":[182],"Low-Rank":[183],"Adaptation":[184],"(SuPLoRA),":[185],"which":[186],"encodes":[187],"information":[191],"frozen":[194],"down-projection":[195],"matrix":[196,202],"updates":[198],"only":[199],"up-projection":[201],"during":[203],"erasure.":[204],"Theoretical":[205],"analysis":[206],"demonstrates":[207],"effectiveness":[209],"SuPLoRA":[211],"mitigating":[213],"performance":[215],"degradation.":[216],"We":[217],"construct":[218],"more":[220],"challenging":[221],"benchmark":[222],"simultaneous":[225],"across":[229],"diverse":[230],"domains,":[231],"including":[232],"celebrities,":[233],"objects,":[234],"pornographic":[236],"content.":[237],"Comprehensive":[238],"experiments":[239],"demonstrate":[240],"our":[242],"achieves":[244],"superior":[246],"balance":[247],"between":[248],"multi-concept":[250],"preservation":[254],"desirable":[256],"performance.":[258]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}