{"id":"https://openalex.org/W4405268909","doi":"https://doi.org/10.48550/arxiv.2412.07658","title":"TraSCE: Trajectory Steering for Concept Erasure","display_name":"TraSCE: Trajectory Steering for Concept Erasure","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4405268909","doi":"https://doi.org/10.48550/arxiv.2412.07658"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.07658","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07658","pdf_url":"https://arxiv.org/pdf/2412.07658","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.07658","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003640520","display_name":"Anubhav Jain","orcid":"https://orcid.org/0000-0001-5893-9967"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jain, Anubhav","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112910787","display_name":"Yuya Kobayashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kobayashi, Yuya","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084845461","display_name":"Takashi Shibuya","orcid":"https://orcid.org/0000-0002-4277-0164"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shibuya, Takashi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078773088","display_name":"Yuhta Takida","orcid":"https://orcid.org/0000-0001-7384-0842"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takida, Yuhta","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006172625","display_name":"Nasir Memon","orcid":"https://orcid.org/0000-0002-0103-9762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Memon, Nasir","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077267552","display_name":"Julian Togelius","orcid":"https://orcid.org/0000-0003-3128-4598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Togelius, Julian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5088754502","display_name":"Yuki Mitsufuji","orcid":"https://orcid.org/0000-0002-6806-6140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitsufuji, Yuki","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5003640520"],"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9413999915122986,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9413999915122986,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9178000092506409,"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":0.909819483757019},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6689208149909973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5098685026168823},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13613134622573853},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10235640406608582}],"concepts":[{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.909819483757019},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6689208149909973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5098685026168823},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13613134622573853},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10235640406608582},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.07658","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07658","pdf_url":"https://arxiv.org/pdf/2412.07658","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.07658","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.07658","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:oai:arXiv.org:2412.07658","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07658","pdf_url":"https://arxiv.org/pdf/2412.07658","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2072016134","https://openalex.org/W2351168932","https://openalex.org/W2465690287","https://openalex.org/W2108143034","https://openalex.org/W2376389741","https://openalex.org/W1997850251","https://openalex.org/W2084549431"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,53,87,106,161],"text-to-image":[3],"diffusion":[4,69,147],"models":[5,23],"have":[6,24,38,51],"brought":[7],"them":[8],"to":[9,27,41,66,200],"the":[10,47,68,126,139,146],"public":[11],"spotlight,":[12],"becoming":[13],"widely":[14,91,127],"accessible":[15],"and":[16,101,171,175],"embraced":[17],"by":[18,144,168],"everyday":[19],"users.":[20],"However,":[21],"these":[22],"been":[25,39],"shown":[26],"generate":[28],"harmful":[29,74,163],"content":[30],"such":[31,43,55],"as":[32,84],"not-safe-for-work":[33],"(NSFW)":[34],"images.":[35],"While":[36],"approaches":[37],"proposed":[40,153,167,178],"erase":[42,201],"abstract":[44],"concepts":[45],"from":[46,72],"models,":[48],"jail-breaking":[49],"techniques":[50],"succeeded":[52],"bypassing":[54],"safety":[56],"measures.":[57],"In":[58],"this":[59,88,112],"paper,":[60,89],"we":[61,85,114,131],"propose":[62,116],"TraSCE,":[63],"an":[64],"approach":[65,77,179],"guide":[67],"trajectory":[70],"away":[71],"generating":[73],"content.":[75],"Our":[76,177],"is":[78,96],"based":[79],"on":[80,158],"negative":[81,93,122,141],"prompting,":[82],"but":[83],"show":[86],"a":[90,98,118,133],"used":[92,128],"prompting":[94,123,142],"strategy":[95],"not":[97,181],"complete":[99],"solution":[100],"can":[102],"easily":[103],"be":[104],"bypassed":[105],"some":[107],"corner":[108],"cases.":[109],"To":[110],"address":[111],"issue,":[113],"first":[115],"using":[117],"specific":[119],"formulation":[120],"of":[121,125],"instead":[124],"one.":[129],"Furthermore,":[130],"introduce":[132],"localized":[134],"loss-based":[135],"guidance":[136],"that":[137,151],"enhances":[138],"modified":[140],"technique":[143],"steering":[145],"trajectory.":[148],"We":[149],"demonstrate":[150],"our":[152],"method":[154],"achieves":[155],"state-of-the-art":[156],"results":[157],"various":[159],"benchmarks":[160],"removing":[162],"content,":[164],"including":[165],"ones":[166],"red":[169],"teams,":[170],"erasing":[172],"artistic":[173],"styles":[174],"objects.":[176],"does":[180],"require":[182],"any":[183],"training,":[184],"weight":[185],"modifications,":[186],"or":[187,192],"training":[188],"data":[189],"(either":[190],"image":[191],"prompt),":[193],"making":[194],"it":[195],"easier":[196],"for":[197],"model":[198],"owners":[199],"new":[202],"concepts.":[203]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}