{"id":"https://openalex.org/W4412888486","doi":"https://doi.org/10.18653/v1/2025.findings-acl.298","title":"QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language","display_name":"QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888486","doi":"https://doi.org/10.18653/v1/2025.findings-acl.298"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.298","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.298","pdf_url":"https://aclanthology.org/2025.findings-acl.298.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.298.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079973133","display_name":"Qingsong Zou","orcid":"https://orcid.org/0000-0002-7892-0021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingsong Zou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033074326","display_name":"Jingyu Xiao","orcid":"https://orcid.org/0000-0002-2394-2995"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingyu Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhi Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449557","display_name":"Yuhang Wang","orcid":"https://orcid.org/0000-0001-5127-021X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhang Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112316572","display_name":"Li Xu","orcid":"https://orcid.org/0009-0008-9363-7575"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755183","display_name":"Wenxuan Wang","orcid":"https://orcid.org/0000-0001-9986-1780"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenxuan Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038862367","display_name":"Kuofeng Gao","orcid":"https://orcid.org/0000-0002-5667-8238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuofeng Gao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103095869","display_name":"Ruoyu Li","orcid":"https://orcid.org/0009-0004-3117-6540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoyu Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101626204","display_name":"Yong Jiang","orcid":"https://orcid.org/0000-0002-4260-1395"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7179,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95054591,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5725","last_page":"5741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9308000206947327,"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":0.9296000003814697,"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":0.811355710029602},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.609773576259613},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.604560136795044},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5884681940078735},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.508904218673706},{"id":"https://openalex.org/keywords/data-control-language","display_name":"Data control language","score":0.5044959783554077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4559936225414276},{"id":"https://openalex.org/keywords/natural-language-user-interface","display_name":"Natural language user interface","score":0.4182322919368744},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.33778202533721924},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.29274141788482666},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.23000693321228027},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.10378965735435486},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.0794028639793396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.811355710029602},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.609773576259613},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.604560136795044},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5884681940078735},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.508904218673706},{"id":"https://openalex.org/C32977378","wikidata":"https://www.wikidata.org/wiki/Q604737","display_name":"Data control language","level":5,"score":0.5044959783554077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4559936225414276},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.4182322919368744},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.33778202533721924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29274141788482666},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.23000693321228027},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.10378965735435486},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0794028639793396}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.298","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.298","pdf_url":"https://aclanthology.org/2025.findings-acl.298.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.298","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.298","pdf_url":"https://aclanthology.org/2025.findings-acl.298.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888486.pdf","grobid_xml":"https://content.openalex.org/works/W4412888486.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1548279772","https://openalex.org/W2400419823","https://openalex.org/W1489445454","https://openalex.org/W1620951616","https://openalex.org/W2036832324","https://openalex.org/W2013349486","https://openalex.org/W4388525956","https://openalex.org/W4287661590","https://openalex.org/W3088315510","https://openalex.org/W3095095169"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,11,71],"large":[3],"language":[4,16,73,78],"models":[5],"(LLMs)":[6],"have":[7],"demonstrated":[8],"remarkable":[9],"potential":[10],"the":[12,37,57,81,94],"field":[13],"of":[14,39,59,85],"natural":[15,72],"processing.Unfortunately,":[17],"LLMs":[18,63],"face":[19],"significant":[20],"security":[21],"and":[22,93],"ethical":[23],"risks.Although":[24],"techniques":[25],"such":[26,41],"as":[27,64],"safety":[28,60,82],"alignment":[29,83],"are":[30],"developed":[31],"for":[32],"defense,":[33],"prior":[34],"researches":[35],"reveal":[36],"possibility":[38],"bypassing":[40],"defenses":[42],"through":[43],"well-designed":[44],"jailbreak":[45,111],"attacks.In":[46],"this":[47],"paper,":[48],"we":[49,67,115],"propose":[50],"QueryAttack,":[51,121],"a":[52,117],"novel":[53],"framework":[54],"to":[55,79,128],"examine":[56],"generalizability":[58],"alignment.By":[61],"treating":[62],"knowledge":[65],"databases,":[66],"translate":[68],"malicious":[69],"queries":[70],"into":[74],"structured":[75],"non-natural":[76],"query":[77],"bypass":[80],"mechanisms":[84],"LLMs.We":[86],"conduct":[87],"extensive":[88],"experiments":[89],"on":[90,130],"mainstream":[91],"LLMs,":[92],"results":[95],"show":[96],"that":[97],"QueryAttack":[98],"not":[99],"only":[100],"can":[101,110,123],"achieve":[102],"high":[103],"attack":[104],"success":[105],"rates":[106],"(ASRs),":[107],"but":[108],"also":[109],"various":[112],"defense":[113,118],"methods.Furthermore,":[114],"tailor":[116],"method":[119],"against":[120],"which":[122],"reduce":[124],"ASR":[125],"by":[126],"up":[127],"64%":[129],"GPT-4-1106.Our":[131],"code":[132],"is":[133],"available":[134],"at":[135],"https://":[136],"github.com/horizonsinzqs/QueryAttack.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}