{"id":"https://openalex.org/W7167420407","doi":"https://doi.org/10.1145/3805760.3814900","title":"Detecting Unsoundness in Neural Network Verifiers via Concrete\u2013Abstract Consistency","display_name":"Detecting Unsoundness in Neural Network Verifiers via Concrete\u2013Abstract Consistency","publication_year":2026,"publication_date":"2026-07-05","ids":{"openalex":"https://openalex.org/W7167420407","doi":"https://doi.org/10.1145/3805760.3814900"},"language":null,"primary_location":{"id":"doi:10.1145/3805760.3814900","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805760.3814900","pdf_url":null,"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 3rd ACM International Conference on AI-Powered Software","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805760.3814900","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140082485","display_name":"Kaijie Liu","orcid":"https://orcid.org/0009-0003-2802-0679"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaijie Liu","raw_affiliation_strings":["UNSW, Sydney, Australia"],"raw_orcid":"https://orcid.org/0009-0003-2802-0679","affiliations":[{"raw_affiliation_string":"UNSW, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053058502","display_name":"Yulei Sui","orcid":"https://orcid.org/0000-0002-9510-6574"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yulei Sui","raw_affiliation_strings":["UNSW, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9510-6574","affiliations":[{"raw_affiliation_string":"UNSW, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90030854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9883999824523926,"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":0.9883999824523926,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.003700000001117587,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/soundness","display_name":"Soundness","score":0.8190000057220459},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6326000094413757},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6116999983787537},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5896000266075134},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4853000044822693},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4246000051498413}],"concepts":[{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.8190000057220459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6342999935150146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6326000094413757},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6116999983787537},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5896000266075134},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44209998846054077},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3456000089645386},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.32829999923706055},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3174999952316284},{"id":"https://openalex.org/C31388003","wikidata":"https://www.wikidata.org/wiki/Q7624548","display_name":"Strong consistency","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805760.3814900","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805760.3814900","pdf_url":null,"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 3rd ACM International Conference on AI-Powered Software","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805760.3814900","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805760.3814900","pdf_url":null,"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 3rd ACM International Conference on AI-Powered Software","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7701886296272278,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2043100293","https://openalex.org/W2594877703","https://openalex.org/W2900153411","https://openalex.org/W2962458576","https://openalex.org/W4402457382","https://openalex.org/W4403536567"],"related_works":[],"abstract_inverted_index":{"Neural":[0],"network":[1],"(NN)":[2],"verifiers":[3,28],"are":[4],"increasingly":[5],"used":[6],"to":[7,18,30,50,83],"certify":[8],"safety":[9],"properties":[10],"such":[11],"as":[12],"robustness":[13],"(i.e.,":[14],"small":[15],"allowed":[16],"perturbations":[17],"an":[19],"input":[20],"should":[21],"not":[22],"alter":[23],"a":[24,61],"model\u2019s":[25],"decision).":[26],"Since":[27],"aim":[29],"prove":[31],"the":[32,42],"absence":[33],"of":[34,44],"violations":[35],"by":[36],"considering":[37],"all":[38],"possible":[39],"specified":[40],"behaviors,":[41],"soundness":[43],"their":[45],"implementations":[46],"is":[47,55],"therefore":[48],"critical":[49],"guaranteeing":[51],"correctness.":[52],"Detecting":[53],"unsoundness":[54],"particularly":[56],"important":[57],"and":[58,73],"challenging,":[59],"because":[60],"verifier":[62],"typically":[63],"spans":[64],"multiple":[65],"components,":[66],"including":[67],"specifications,":[68],"neural":[69],"networks,":[70],"operator":[71],"semantics,":[72],"constraint":[74],"solving,":[75],"where":[76],"subtle":[77],"implementation":[78],"bugs":[79],"can":[80],"silently":[81],"lead":[82],"false":[84],"certified":[85],"results.":[86]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-06T00:00:00"}
