{"id":"https://openalex.org/W7123821155","doi":"https://doi.org/10.48550/arxiv.2601.06162","title":"Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models","display_name":"Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models","publication_year":2026,"publication_date":"2026-01-06","ids":{"openalex":"https://openalex.org/W7123821155","doi":"https://doi.org/10.48550/arxiv.2601.06162"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.06162","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.06162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.06162","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122914122","display_name":"Kaiyuan Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Deng, Kaiyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122956435","display_name":"Gen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Gen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122917538","display_name":"Yang Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122970385","display_name":"Bo Hui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui, Bo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122958422","display_name":"Xiaolong Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Xiaolong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5122914122"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.7764000296592712,"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":0.7764000296592712,"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":0.06629999727010727,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.025299999862909317,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7324000000953674},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4269999861717224},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.41260001063346863},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.38100001215934753},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3666999936103821},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3046000003814697}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7324000000953674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214000225067139},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39879998564720154},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34450000524520874},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2865999937057495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.06162","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.06162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.06162","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.06162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Text-to-image":[0],"diffusion":[1],"models":[2],"have":[3],"achieved":[4],"remarkable":[5],"progress,":[6],"yet":[7],"their":[8],"use":[9],"raises":[10],"copyright":[11],"and":[12,53,90,98,109,137,170],"misuse":[13],"concerns,":[14],"prompting":[15],"research":[16],"into":[17],"machine":[18],"unlearning.":[19,79,174],"However,":[20],"extending":[21],"multi-concept":[22],"unlearning":[23,39,115],"to":[24,30,50,93,116,154],"large-scale":[25,78,173],"scenarios":[26],"remains":[27],"difficult":[28],"due":[29],"three":[31],"challenges:":[32],"(i)":[33],"conflicting":[34],"weight":[35],"updates":[36],"that":[37,46,141],"hinder":[38],"or":[40,59,130],"degrade":[41],"generation;":[42],"(ii)":[43],"imprecise":[44],"mechanisms":[45],"cause":[47],"collateral":[48],"damage":[49],"similar":[51],"content;":[52],"(iii)":[54],"reliance":[55],"on":[56,134],"additional":[57],"data":[58,129],"modules,":[60],"creating":[61],"scalability":[62],"bottlenecks.":[63],"To":[64],"address":[65],"these,":[66],"we":[67],"propose":[68],"Scalable-Precise":[69],"Concept":[70],"Unlearning":[71],"(ScaPre),":[72],"a":[73,82],"unified":[74],"framework":[75],"tailored":[76],"for":[77,172],"ScaPre":[80,120,142],"introduces":[81],"conflict-aware":[83],"stable":[84],"design,":[85],"integrating":[86],"spectral":[87],"trace":[88],"regularization":[89],"geometry":[91],"alignment":[92],"stabilize":[94],"optimization,":[95],"suppress":[96],"conflicts,":[97],"preserve":[99],"global":[100],"structure.":[101],"Furthermore,":[102],"an":[103,122],"Informax":[104],"Decoupler":[105],"identifies":[106],"concept-relevant":[107],"parameters":[108],"adaptively":[110],"reweights":[111],"updates,":[112],"strictly":[113],"confining":[114],"the":[117,160],"target":[118,145],"subspace.":[119],"yields":[121],"efficient":[123],"closed-form":[124],"solution":[125],"without":[126],"requiring":[127],"auxiliary":[128],"sub-models.":[131],"Comprehensive":[132],"experiments":[133],"objects,":[135],"styles,":[136],"explicit":[138],"content":[139],"demonstrate":[140],"effectively":[143],"removes":[144],"concepts":[146,158],"while":[147],"maintaining":[148],"generation":[149],"quality.":[150],"It":[151],"forgets":[152],"up":[153],"$\\times":[155],"\\mathbf{5}$":[156],"more":[157],"than":[159],"best":[161],"baseline":[162],"within":[163],"acceptable":[164],"quality":[165],"limits,":[166],"achieving":[167],"state-of-the-art":[168],"precision":[169],"efficiency":[171]},"counts_by_year":[],"updated_date":"2026-01-14T23:44:37.837170","created_date":"2026-01-14T00:00:00"}
