{"id":"https://openalex.org/W7125692935","doi":"https://doi.org/10.48550/arxiv.2601.16905","title":"GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints","display_name":"GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints","publication_year":2026,"publication_date":"2026-01-23","ids":{"openalex":"https://openalex.org/W7125692935","doi":"https://doi.org/10.48550/arxiv.2601.16905"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2601.16905","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123834676","display_name":"Andy Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhu, Andy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123881811","display_name":"Rongzhe Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Rongzhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123864022","display_name":"Yupu Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Yupu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123842248","display_name":"Pan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Pan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5123834676"],"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7157999873161316,"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":0.7157999873161316,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.053599998354911804,"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":0.020999999716877937,"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/router","display_name":"Router","score":0.8454999923706055},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.5892999768257141},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.517799973487854},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3853999972343445},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.35190001130104065},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.33480000495910645},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.31529998779296875}],"concepts":[{"id":"https://openalex.org/C2775896111","wikidata":"https://www.wikidata.org/wiki/Q642560","display_name":"Router","level":2,"score":0.8454999923706055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6923999786376953},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.5892999768257141},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47099998593330383},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3765000104904175},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.273499995470047},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C128519102","wikidata":"https://www.wikidata.org/wiki/Q339554","display_name":"Network on a chip","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2601.16905","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2601.16905","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.16905","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2601.16905","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.48063725233078003}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"unlearning":[1,27,67,124,129,159,183,202],"(MU)":[2],"for":[3,10,66,68,101],"large":[4],"language":[5],"models":[6,166],"has":[7],"become":[8],"critical":[9],"AI":[11],"safety,":[12],"yet":[13],"existing":[14,191,201],"methods":[15,28,184],"fail":[16],"to":[17,19,36,117,122,131,207],"generalize":[18],"Mixture-of-Experts":[20],"(MoE)":[21],"architectures.":[22],"We":[23,56],"identify":[24],"that":[25,168],"traditional":[26],"exploit":[29],"MoE's":[30],"architectural":[31],"vulnerability:":[32],"they":[33],"manipulate":[34],"routers":[35],"redirect":[37],"queries":[38],"away":[39],"from":[40,92,135,193,204],"knowledgeable":[41],"experts":[42],"rather":[43,138],"than":[44,139],"erasing":[45],"knowledge,":[46,103],"causing":[47],"a":[48,74],"loss":[49],"of":[50],"model":[51,116],"utility":[52],"and":[53],"superficial":[54,142],"forgetting.":[55],"propose":[57],"Geometric":[58],"Routing":[59],"Invariance":[60],"Preservation":[61],"(GRIP),":[62],"an":[63,84,149],"algorithm-agnostic":[64],"framework":[65],"MoE.":[69],"Our":[70],"core":[71],"contribution":[72],"is":[73],"geometric":[75],"constraint,":[76],"implemented":[77],"by":[78],"projecting":[79],"router":[80,106,143,152,197],"gradient":[81],"updates":[82,154],"into":[83],"expert-specific":[85],"null-space.":[86],"Crucially,":[87],"this":[88],"decouples":[89],"routing":[90,178],"stability":[91],"parameter":[93,153],"rigidity:":[94],"while":[95,185],"discrete":[96],"expert":[97,136,172],"selections":[98],"remain":[99,108],"stable":[100],"retained":[102],"the":[104,111,115,128,141,157],"continuous":[105],"parameters":[107,137],"plastic":[109],"within":[110],"null":[112],"space,":[113],"allowing":[114],"undergo":[118],"necessary":[119],"internal":[120],"reconfiguration":[121],"satisfy":[123],"objectives.":[125],"This":[126],"forces":[127],"optimization":[130],"erase":[132],"knowledge":[133],"directly":[134],"exploiting":[140,194],"manipulation":[144],"shortcut.":[145],"GRIP":[146,199],"functions":[147],"as":[148],"adapter,":[150],"constraining":[151],"without":[155],"modifying":[156],"underlying":[158],"algorithm.":[160],"Extensive":[161],"experiments":[162],"on":[163],"large-scale":[164],"MoE":[165,195],"demonstrate":[167],"our":[169],"adapter":[170],"eliminates":[171],"selection":[173],"shift":[174],"(achieving":[175],"over":[176],"95%":[177],"stability)":[179],"across":[180],"all":[181],"tested":[182],"preserving":[186],"their":[187],"utility.":[188],"By":[189],"preventing":[190],"algorithms":[192],"model's":[196],"vulnerability,":[198],"adapts":[200],"research":[203],"dense":[205],"architectures":[206],"MoEs.":[208]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-01-27T00:00:00"}
