{"id":"https://openalex.org/W4412889971","doi":"https://doi.org/10.18653/v1/2025.acl-long.1212","title":"SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings","display_name":"SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412889971","doi":"https://doi.org/10.18653/v1/2025.acl-long.1212"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.1212","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1212","pdf_url":"https://aclanthology.org/2025.acl-long.1212.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.1212.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102647004","display_name":"Weikai Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weikai Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740618","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0001-7422-630X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061256037","display_name":"Huiping Zhuang","orcid":"https://orcid.org/0000-0002-4612-5445"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huiping Zhuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622590","display_name":"Cen Chen","orcid":"https://orcid.org/0000-0003-1389-0148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cen Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101403806","display_name":"Ziqian Zeng","orcid":"https://orcid.org/0000-0003-0060-7956"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziqian Zeng","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14788521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"24894","last_page":"24913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9567999839782715,"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/T10028","display_name":"Topic Modeling","score":0.9567999839782715,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9358999729156494,"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/computer-science","display_name":"Computer science","score":0.6384265422821045},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.45757031440734863},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34642040729522705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3231765031814575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384265422821045},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.45757031440734863},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34642040729522705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3231765031814575},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.1212","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1212","pdf_url":"https://aclanthology.org/2025.acl-long.1212.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.1212","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1212","pdf_url":"https://aclanthology.org/2025.acl-long.1212.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2287814283","display_name":null,"funder_award_id":"62472181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4421831070","display_name":null,"funder_award_id":"62406114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645884509","display_name":null,"funder_award_id":"2024A1515010220","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7626417556","display_name":null,"funder_award_id":"62306117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321895","display_name":"Government of Jiangxi Province","ror":"https://ror.org/02fzqav45"},{"id":"https://openalex.org/F4320323059","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412889971.pdf","grobid_xml":"https://content.openalex.org/works/W4412889971.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Multimodal":[0],"Large":[1],"Language":[2],"Models":[3],"(MLLMs)":[4],"have":[5,41],"serious":[6],"security":[7,35,48,115,127],"vulnerabilities.While":[8],"safety":[9,61,79],"alignment":[10,36,80],"using":[11],"multimodal":[12,78],"datasets":[13],"consisting":[14],"of":[15,19,67,116],"text":[16],"and":[17,93,132,152],"data":[18,86],"additional":[20,52,68,123],"modalities":[21],"can":[22,99],"effectively":[23],"enhance":[24],"MLLM's":[25],"security,":[26],"it":[27],"is":[28,87],"costly":[29],"to":[30,44,73],"construct":[31],"these":[32],"datasets.Existing":[33],"low-resource":[34],"methods,":[37],"including":[38],"textual":[39,75,85],"alignment,":[40],"been":[42],"found":[43],"struggle":[45],"with":[46,120],"the":[47,114,126],"risks":[49,128],"posed":[50],"by":[51,130],"modalities.To":[53,124],"address":[54],"this,":[55],"we":[56,134],"propose":[57],"Synthetic":[58],"Embedding":[59],"augmented":[60],"Alignment":[62],"(SEA),":[63],"which":[64],"optimizes":[65],"embeddings":[66],"modality":[69],"through":[70],"gradient":[71],"updates":[72],"expand":[74],"datasets.This":[76],"enables":[77],"training":[81],"even":[82],"when":[83,118],"only":[84],"available.Extensive":[88],"experiments":[89],"on":[90,104],"image,":[91],"video,":[92],"audio-based":[94],"MLLMs":[95,117,147],"demonstrate":[96],"that":[97],"SEA":[98],"synthesize":[100],"a":[101,105,137],"high-quality":[102],"embedding":[103],"single":[106],"RTX3090":[107],"GPU":[108],"within":[109],"24":[110],"seconds.SEA":[111],"significantly":[112],"improves":[113],"faced":[119],"threats":[121],"from":[122],"assess":[125],"introduced":[129,136],"video":[131],"audio,":[133],"also":[135],"new":[138],"benchmark":[139],"called":[140],"VA-SafetyBench.High":[141],"attack":[142],"success":[143],"rates":[144],"across":[145],"multiple":[146],"validate":[148],"its":[149],"challenge.Our":[150],"code":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
