{"id":"https://openalex.org/W4385488725","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191319","title":"Measuring Robustness of Deep Neural Networks from the Lens of Statistical Model Checking","display_name":"Measuring Robustness of Deep Neural Networks from the Lens of Statistical Model Checking","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488725","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191319"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114488715","display_name":"Hao Bu","orcid":"https://orcid.org/0000-0001-5209-596X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Bu","raw_affiliation_strings":["School of Mathematical Sciences, Peking University,Beijing,China","School of Mathematical Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085248515","display_name":"Meng Sun","orcid":"https://orcid.org/0000-0002-7435-3752"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Sun","raw_affiliation_strings":["School of Mathematical Sciences, Peking University,Beijing,China","School of Mathematical Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114488715"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64504152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.955299973487854,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.9064130783081055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7812559604644775},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5643465518951416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5231536626815796},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.49210160970687866},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4632965326309204},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4479307532310486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4343085289001465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35572487115859985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33691903948783875}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.9064130783081055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812559604644775},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5643465518951416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5231536626815796},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.49210160970687866},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4632965326309204},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4479307532310486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4343085289001465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35572487115859985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33691903948783875},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2010007046","display_name":null,"funder_award_id":"62172019","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1489725951","https://openalex.org/W1498432697","https://openalex.org/W1544634046","https://openalex.org/W1862398452","https://openalex.org/W1976061003","https://openalex.org/W1993011731","https://openalex.org/W2018000058","https://openalex.org/W2042587503","https://openalex.org/W2074614635","https://openalex.org/W2137591261","https://openalex.org/W2164096878","https://openalex.org/W2166423024","https://openalex.org/W2594877703","https://openalex.org/W2800473699","https://openalex.org/W2965020757","https://openalex.org/W2970456043","https://openalex.org/W2983704236","https://openalex.org/W3005807947","https://openalex.org/W3034215083","https://openalex.org/W3183345341","https://openalex.org/W3201574205","https://openalex.org/W3209853255","https://openalex.org/W4286897271","https://openalex.org/W4288404646","https://openalex.org/W4289285778","https://openalex.org/W4388893982","https://openalex.org/W6644361879","https://openalex.org/W6756739972","https://openalex.org/W6757555829","https://openalex.org/W6766811836","https://openalex.org/W6771653851","https://openalex.org/W6773513906","https://openalex.org/W6779482944","https://openalex.org/W6803323274","https://openalex.org/W6803394224","https://openalex.org/W6858936672"],"related_works":["https://openalex.org/W2076536433","https://openalex.org/W2952313066","https://openalex.org/W3210882018","https://openalex.org/W4300000045","https://openalex.org/W2970990331","https://openalex.org/W4379116102","https://openalex.org/W3207178610","https://openalex.org/W2526749411","https://openalex.org/W3211782752","https://openalex.org/W4309864825"],"abstract_inverted_index":{"Measuring":[0],"robustness":[1,19,45,65,82,96,119],"of":[2,20,66,83,88,114,145],"deep":[3],"neural":[4],"networks":[5],"(DNNs)":[6],"is":[7,53],"an":[8],"important":[9],"topic":[10],"for":[11,16,42,55,130,135],"trustworthy":[12],"AI.":[13],"Existing":[14,40],"methods":[15,41],"verifying":[17],"local":[18,79,95],"DNNs":[21,84],"usually":[22,46],"face":[23],"the":[24,63,78,86,94,100,107],"scalability":[25],"problem":[26],"and":[27,36,80,132],"have":[28],"difficulties":[29],"to":[30,61,76],"deal":[31],"with":[32,93],"non-linear":[33],"activation":[34],"functions":[35],"complex":[37],"semantic":[38],"perturbations.":[39],"measuring":[43],"global":[44,64,81,118],"rely":[47],"on":[48],"large":[49,59],"datasets,":[50],"so":[51],"it":[52],"difficult":[54],"users":[56],"without":[57],"a":[58,142],"dataset":[60],"compare":[62],"different":[67],"networks.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"propose":[73],"two":[74],"algorithms":[75],"measure":[77],"from":[85],"lens":[87],"statistical":[89],"model":[90],"checking.":[91],"Compared":[92],"estimation":[97,120,125],"method":[98,104],"using":[99,111,126],"Okamoto":[101],"bound,":[102],"our":[103],"can":[105,122,138],"provide":[106,123],"same":[108],"theoretical":[109],"guarantee":[110],"only":[112,127],"48.6%-74.1%":[113],"running":[115],"time.":[116],"Our":[117],"algorithm":[121],"high-quality":[124],"10":[128],"images":[129,134],"CIFAR-10":[131],"50":[133],"ImageNet,":[136],"thus":[137],"be":[139],"used":[140],"in":[141],"wider":[143],"range":[144],"scenarios.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}