{"id":"https://openalex.org/W7162324284","doi":"https://doi.org/10.48550/arxiv.2605.23780","title":"Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment","display_name":"Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162324284","doi":"https://doi.org/10.48550/arxiv.2605.23780"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23780","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23780","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.23780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136906080","display_name":"Haoyuan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haoyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136935816","display_name":"Xiaohao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xiaohao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041726953","display_name":"Jiajie Su","orcid":"https://orcid.org/0000-0002-6899-4174"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Jiajie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020202009","display_name":"Jianmao Xiao","orcid":"https://orcid.org/0000-0003-3741-8104"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Jianmao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136969513","display_name":"Chaochao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Chaochao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.28110000491142273,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.28110000491142273,"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/T10028","display_name":"Topic Modeling","score":0.18170000612735748,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.12189999967813492,"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":0.774399995803833},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6237999796867371},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6104999780654907},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5842000246047974},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5360999703407288},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5112000107765198},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4846000075340271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8008999824523926},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.774399995803833},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6237999796867371},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6104999780654907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.607200026512146},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5842000246047974},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5360999703407288},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4846000075340271},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42669999599456787},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.4172999858856201},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.352400004863739},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.3312999904155731},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C2778584072","wikidata":"https://www.wikidata.org/wiki/Q7353545","display_name":"Robustification","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23780","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23780","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.23780","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23780","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46941283345222473,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"large":[1],"language":[2],"models":[3],"(MLLMs)":[4],"need":[5],"efficient":[6],"mechanisms":[7],"to":[8,31,57],"update":[9],"knowledge":[10,18,69,79],"without":[11],"degrading":[12],"existing":[13],"capabilities.":[14],"While":[15],"intrinsic":[16,67],"multimodal":[17,62,68,85],"editing":[19,52,70],"achieves":[20],"strong":[21],"reliability":[22],"and":[23,38,54,87],"locality,":[24],"it":[25],"often":[26],"exhibits":[27],"limited":[28],"generality,":[29],"failing":[30],"propagate":[32],"edits":[33],"across":[34],"semantically":[35,83,111],"equivalent":[36,84],"visual":[37],"linguistic":[39],"variations.":[40],"This":[41],"issue":[42],"arises":[43],"from":[44],"the":[45,115,133,144],"lack":[46],"of":[47,129,146],"explicit":[48],"semantic":[49,99],"supervision,":[50],"rigid":[51],"scopes,":[53],"biased":[55],"anchoring":[56],"individual":[58],"samples":[59],"in":[60,114],"high-dimensional":[61],"spaces.":[63],"We":[64,75,119],"address":[65],"robust":[66],"by":[71],"explicitly":[72],"targeting":[73],"generalization.":[74],"formalize":[76],"robustness":[77],"through":[78],"units":[80],"that":[81],"group":[82],"inputs":[86],"define":[88],"generality":[89],"as":[90],"consistent":[91],"predictions":[92],"within":[93],"each":[94],"unit.":[95],"To":[96],"expose":[97],"fragile":[98],"regions,":[100],"we":[101],"introduce":[102],"Latent":[103],"Adversarial":[104],"Robustification":[105],"(LAR),":[106],"which":[107],"generates":[108],"adversarial":[109,130],"yet":[110],"coherent":[112],"variants":[113],"joint":[116],"latent":[117],"space.":[118],"further":[120],"propose":[121],"Rank-Constrained":[122],"Subspace":[123],"Learning":[124],"(RCSL),":[125],"enforcing":[126],"low-rank":[127],"alignment":[128],"representations":[131],"at":[132],"edit":[134],"layer":[135],"via":[136],"a":[137],"singular":[138],"value-based":[139],"objective.":[140],"Extensive":[141],"analysis":[142],"demonstrates":[143],"effectiveness":[145],"ASAM":[147],"empirically.":[148]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-26T00:00:00"}
