{"id":"https://openalex.org/W7166878617","doi":"https://doi.org/10.18653/v1/2026.findings-acl.842","title":"Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL","display_name":"Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166878617","doi":"https://doi.org/10.18653/v1/2026.findings-acl.842"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.842","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.842","pdf_url":"https://aclanthology.org/2026.findings-acl.842.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 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.842.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139830407","display_name":"Hanqing Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanqing Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139823176","display_name":"Yongdong Chi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongdong Chi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139740429","display_name":"Jian Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139786556","display_name":"Lei Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139761267","display_name":"Jiehui Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiehui Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139838980","display_name":"Yun Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139763038","display_name":"Guanhua Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guanhua Chen","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":0.86188673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17065","last_page":"17082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12479","display_name":"Web Application Security Vulnerabilities","score":0.8406000137329102,"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/T12479","display_name":"Web Application Security Vulnerabilities","score":0.8406000137329102,"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/T11424","display_name":"Security and Verification in Computing","score":0.011900000274181366,"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":0.011099999770522118,"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/identification","display_name":"Identification (biology)","score":0.30379998683929443},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3021000027656555},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2806999981403351},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.2603999972343445},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.25949999690055847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079000234603882},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3765000104904175},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25110000371932983},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.24950000643730164}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.842","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.842","pdf_url":"https://aclanthology.org/2026.findings-acl.842.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 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.842","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.842","pdf_url":"https://aclanthology.org/2026.findings-acl.842.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 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4821375012397766,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327605","display_name":"Southern University of Science and Technology","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166878617.pdf","grobid_xml":"https://content.openalex.org/works/W7166878617.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs)":[4],"have":[5],"achieved":[6],"remarkable":[7],"success":[8],"in":[9,14,72,171],"Text-to-SQL":[10,74],"tasks,":[11],"their":[12],"deployment":[13],"real-world":[15],"environments":[16],"is":[17,26],"hindered":[18],"by":[19],"latent":[20,24,69],"reliability":[21,169],"issues.Identifying":[22],"these":[23],"weaknesses":[25],"critical":[27],"for":[28,47,80,147,166],"building":[29],"trustworthy":[30],"database":[31],"interfaces,":[32],"yet":[33],"current":[34,121],"diagnostic":[35],"approaches":[36],"rely":[37],"heavily":[38],"on":[39,102,155],"static,":[40],"expert-defined":[41],"rules,":[42],"which":[43],"lack":[44],"the":[45,117,127,136,156,168],"capability":[46],"systematic":[48],"and":[49,83,97],"automated":[50],"exploration.To":[51],"bridge":[52],"this":[53],"gap,":[54],"we":[55,143],"propose":[56],"SAGE":[57,76,108],"(Systematic":[58],"Automated":[59],"Guided":[60],"Exploration),":[61],"a":[62,85,110,149,163],"novel":[63],"framework":[64],"designed":[65],"to":[66,90],"autonomously":[67],"uncover":[68],"failure":[70,114],"patterns":[71,138],"LLM-based":[73],"generation.Specifically,":[75],"generates":[77],"vulnerability":[78],"hypotheses":[79],"given":[81],"samples":[82,158],"references":[84],"continuously":[86],"evolving":[87],"Vulnerability":[88,128],"Codex":[89,129],"design":[91],"targeted":[92],"perturbations,":[93],"thereby":[94],"iteratively":[95],"verifying":[96],"documenting":[98],"potential":[99,146],"defects.Extensive":[100],"experiments":[101],"state-of-the-art":[103],"open-source":[104],"LLMs":[105],"demonstrate":[106],"that":[107,126,135],"uncovers":[109],"substantial":[111],"number":[112],"of":[113,120],"cases,":[115],"highlighting":[116],"significant":[118],"fragility":[119],"models.Furthermore,":[122],"our":[123],"analysis":[124],"reveals":[125],"exhibits":[130],"strong":[131],"cross-model":[132],"transferability,":[133],"indicating":[134],"discovered":[137],"represent":[139],"generalized":[140],"structural":[141],"weaknesses.Finally,":[142],"explore":[144],"SAGE's":[145],"remediation.Furthermore,":[148],"preliminary":[150],"attempt":[151],"at":[152],"lightweight":[153],"fine-tuning":[154],"generated":[157],"yields":[159],"promising":[160],"improvements,":[161],"suggesting":[162],"scalable":[164],"pathway":[165],"closing":[167],"loop":[170],"future":[172],"work.":[173]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
