{"id":"https://openalex.org/W4412514798","doi":"https://doi.org/10.1007/978-3-031-98679-6_17","title":"StarV: A Qualitative and\u00a0Quantitative Verification Tool for\u00a0Learning-Enabled Systems","display_name":"StarV: A Qualitative and\u00a0Quantitative Verification Tool for\u00a0Learning-Enabled Systems","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412514798","doi":"https://doi.org/10.1007/978-3-031-98679-6_17"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-98679-6_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-98679-6_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-98679-6_17.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-98679-6_17.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023289374","display_name":"Hoang-Dung Tran","orcid":"https://orcid.org/0000-0001-6946-9526"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hoang-Dung Tran","raw_affiliation_strings":["University of Florida, Gainesville, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683115","display_name":"Sung Woo Choi","orcid":"https://orcid.org/0000-0002-3679-5840"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sung Woo Choi","raw_affiliation_strings":["University of Florida, Gainesville, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109759378","display_name":"Y. G. Li","orcid":"https://orcid.org/0009-0006-1302-2075"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuntao Li","raw_affiliation_strings":["University of Florida, Gainesville, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345153","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0001-5286-4423"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Liu","raw_affiliation_strings":["University of Florida, Gainesville, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035243085","display_name":"Hideki Okamoto","orcid":"https://orcid.org/0009-0009-2533-9581"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hideki Okamoto","raw_affiliation_strings":["Toyota NA R&D, Ann Arbor, USA"],"affiliations":[{"raw_affiliation_string":"Toyota NA R&D, Ann Arbor, USA","institution_ids":["https://openalex.org/I1293612202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044251694","display_name":"Bardh Hoxha","orcid":"https://orcid.org/0000-0001-6255-7566"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Bardh Hoxha","raw_affiliation_strings":["Toyota NA R&D, Ann Arbor, USA"],"affiliations":[{"raw_affiliation_string":"Toyota NA R&D, Ann Arbor, USA","institution_ids":["https://openalex.org/I1293612202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058732387","display_name":"Georgios Fainekos","orcid":"https://orcid.org/0000-0002-0456-2129"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Georgios Fainekos","raw_affiliation_strings":["Toyota NA R&D, Ann Arbor, USA"],"affiliations":[{"raw_affiliation_string":"Toyota NA R&D, Ann Arbor, USA","institution_ids":["https://openalex.org/I1293612202"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5023289374"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":4.2142,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93573558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"376","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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":0.9994999766349792,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9884999990463257,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.862359881401062},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.39650648832321167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39120128750801086},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37718239426612854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.862359881401062},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.39650648832321167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39120128750801086},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37718239426612854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-98679-6_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-98679-6_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-98679-6_17.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-98679-6_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-98679-6_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-98679-6_17.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1144820884","display_name":null,"funder_award_id":"2220418","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5912243691","display_name":"CAREER: Enabling Trustworthy Complex Learning-enabled Autonomy","funder_award_id":"2441334","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8031044100","display_name":"Collaborative Research: SLES: Foundations of Qualitative and Quantitative Safety Assessment of Learning-enabled Systems","funder_award_id":"2331937","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412514798.pdf","grobid_xml":"https://content.openalex.org/works/W4412514798.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W2501830452","https://openalex.org/W2594877703","https://openalex.org/W2606133973","https://openalex.org/W2614851820","https://openalex.org/W2734705105","https://openalex.org/W2796083356","https://openalex.org/W2799390666","https://openalex.org/W2899116309","https://openalex.org/W2900153411","https://openalex.org/W2938701611","https://openalex.org/W2955031793","https://openalex.org/W2955171822","https://openalex.org/W2957311447","https://openalex.org/W2963592643","https://openalex.org/W2964130946","https://openalex.org/W2974147052","https://openalex.org/W2980176594","https://openalex.org/W2980176926","https://openalex.org/W2989358546","https://openalex.org/W3012424690","https://openalex.org/W3019166713","https://openalex.org/W3021958118","https://openalex.org/W3036286896","https://openalex.org/W3043655933","https://openalex.org/W3046272654","https://openalex.org/W3046662910","https://openalex.org/W3048679064","https://openalex.org/W3089336663","https://openalex.org/W3094179137","https://openalex.org/W3098919244","https://openalex.org/W3112288498","https://openalex.org/W3120347956","https://openalex.org/W3120409696","https://openalex.org/W3124237877","https://openalex.org/W3140205966","https://openalex.org/W3160641830","https://openalex.org/W3183549096","https://openalex.org/W3184441520","https://openalex.org/W3184678361","https://openalex.org/W3186232356","https://openalex.org/W3186627997","https://openalex.org/W3197845738","https://openalex.org/W3201574205","https://openalex.org/W3208555259","https://openalex.org/W3211668688","https://openalex.org/W3212827451","https://openalex.org/W4205950066","https://openalex.org/W4206101760","https://openalex.org/W4283802686","https://openalex.org/W4285155236","https://openalex.org/W4293243644","https://openalex.org/W4293399548","https://openalex.org/W4312660377","https://openalex.org/W4320896439","https://openalex.org/W4362663195","https://openalex.org/W4368408193","https://openalex.org/W4375852012","https://openalex.org/W4375852575","https://openalex.org/W4379165537","https://openalex.org/W4379534244","https://openalex.org/W4381571085","https://openalex.org/W4382318116","https://openalex.org/W4382655682","https://openalex.org/W4384471461","https://openalex.org/W4384573554","https://openalex.org/W4387698463","https://openalex.org/W4394862442","https://openalex.org/W4400939442","https://openalex.org/W4404101458","https://openalex.org/W4404102454","https://openalex.org/W4404448299","https://openalex.org/W4410152236","https://openalex.org/W4410555906","https://openalex.org/W6600109629","https://openalex.org/W6601013545","https://openalex.org/W6601955380","https://openalex.org/W6604304981","https://openalex.org/W6633963571","https://openalex.org/W6701192910","https://openalex.org/W6877882291"],"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/W4396696052"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3,97],"StarV,":[4],"a":[5,76,98],"new":[6],"tool":[7,55],"for":[8,61],"verifying":[9],"deep":[10,112],"neural":[11,114],"networks":[12,115,119],"(DNNs)":[13],"and":[14,33,35,46,71,82,91,103,116,151],"learning-enabled":[15],"Cyber-Physical":[16],"Systems":[17],"(Le-CPS)":[18],"using":[19,44,58],"the":[20,53,86],"well-known":[21],"star":[22],"reachability.":[23],"Distinguished":[24],"from":[25],"existing":[26,141],"star-based":[27],"verification":[28,42,63,88],"tools":[29,142],"such":[30,146],"as":[31,147],"NNV":[32],"NNENUM":[34],"others,":[36],"StarV":[37,96,124,139],"not":[38],"only":[39],"offers":[40],"qualitative":[41],"techniques":[43],"Star":[45],"ImageStar":[47],"reachability":[48,60,105],"analysis":[49],"but":[50],"is":[51,125],"also":[52],"first":[54],"to":[56,110],"propose":[57],"ProbStar":[59,78],"quantitative":[62,87],"of":[64,89],"DNNs":[65,90],"with":[66,120,129],"piecewise":[67],"linear":[68],"activation":[69],"functions":[70],"Le-CPS.":[72],"Notably,":[73],"it":[74],"introduces":[75],"novel":[77,99],"Temporal":[79],"Logic":[80],"formalism":[81],"associated":[83,104],"algorithms,":[84],"enabling":[85],"Le-CPS\u2019s":[92],"temporal":[93],"behaviors.":[94],"Additionally,":[95],"SparseImageStar":[100],"set":[101],"representation":[102],"algorithm":[106],"that":[107,138],"allows":[108],"users":[109],"verify":[111],"convolutional":[113],"semantic":[117],"segmentation":[118],"more":[121],"memory":[122,152],"efficiency.":[123],"evaluated":[126],"in":[127,131,143],"comparison":[128],"state-of-the-art":[130],"many":[132,144],"challenging":[133],"benchmarks.":[134],"The":[135],"experiments":[136],"show":[137],"outperforms":[140],"aspects,":[145],"timing":[148],"performance,":[149],"scalability,":[150],"consumption.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}