{"id":"https://openalex.org/W2963668975","doi":"https://doi.org/10.23919/date.2019.8714971","title":"Runtime Monitoring Neuron Activation Patterns","display_name":"Runtime Monitoring Neuron Activation Patterns","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2963668975","doi":"https://doi.org/10.23919/date.2019.8714971","mag":"2963668975"},"language":"en","primary_location":{"id":"doi:10.23919/date.2019.8714971","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8714971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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/A5066292729","display_name":"Chih\u2010Hong Cheng","orcid":"https://orcid.org/0000-0002-7265-8413"},"institutions":[{"id":"https://openalex.org/I4210134795","display_name":"Fortiss","ror":"https://ror.org/042x1tp92","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210134795"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Chih-Hong Cheng","raw_affiliation_strings":["Fortiss - Research Institute of the Free State of Bavaria"],"affiliations":[{"raw_affiliation_string":"Fortiss - Research Institute of the Free State of Bavaria","institution_ids":["https://openalex.org/I4210134795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088723005","display_name":"Georg N\u00fchrenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134795","display_name":"Fortiss","ror":"https://ror.org/042x1tp92","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210134795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georg Nuhrenberg","raw_affiliation_strings":["Fortiss - Research Institute of the Free State of Bavaria"],"affiliations":[{"raw_affiliation_string":"Fortiss - Research Institute of the Free State of Bavaria","institution_ids":["https://openalex.org/I4210134795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043409704","display_name":"Hirotoshi Yasuoka","orcid":null},"institutions":[{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hirotoshi Yasuoka","raw_affiliation_strings":["DENSO CORPORATION"],"affiliations":[{"raw_affiliation_string":"DENSO CORPORATION","institution_ids":["https://openalex.org/I67530263"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066292729"],"corresponding_institution_ids":["https://openalex.org/I4210134795"],"apc_list":null,"apc_paid":null,"fwci":4.4805,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.95657393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"300","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9916999936103821,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.775266170501709},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6454206705093384},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5883775949478149},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5463460683822632},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.5378005504608154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5268627405166626},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48246079683303833},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.4778323173522949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4649772644042969},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.4301595091819763},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3320927023887634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10867127776145935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775266170501709},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6454206705093384},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5883775949478149},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5463460683822632},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.5378005504608154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5268627405166626},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48246079683303833},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.4778323173522949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4649772644042969},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.4301595091819763},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3320927023887634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10867127776145935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2019.8714971","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8714971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W2030224590","https://openalex.org/W2101623441","https://openalex.org/W2111422217","https://openalex.org/W2117876524","https://openalex.org/W2594877703","https://openalex.org/W2607219512","https://openalex.org/W2962851944","https://openalex.org/W2963037989","https://openalex.org/W2963054787","https://openalex.org/W4297573953","https://openalex.org/W6639204139","https://openalex.org/W6685133223","https://openalex.org/W6733645847","https://openalex.org/W6736207377","https://openalex.org/W6737380770"],"related_works":["https://openalex.org/W2943247777","https://openalex.org/W2740543340","https://openalex.org/W2371167013","https://openalex.org/W1582340598","https://openalex.org/W1541021634","https://openalex.org/W2779867339","https://openalex.org/W2794545997","https://openalex.org/W2584980534","https://openalex.org/W2182731056","https://openalex.org/W66917582"],"abstract_inverted_index":{"For":[0],"using":[1],"neural":[2,19],"networks":[3],"in":[4,26,54,62,92],"safety":[5],"critical":[6],"domains,":[7],"it":[8,108],"is":[9,21,73,90,115],"important":[10],"to":[11,50,56,86,104,142],"know":[12],"if":[13,78],"a":[14,18,43,67,79,110,137,149,156],"decision":[15,69,114],"made":[16],"by":[17,23,45,76,83,126,146],"network":[20,52],"supported":[22,145],"prior":[24],"similarities":[25],"training.":[27],"We":[28],"propose":[29],"runtime":[30],"neuron":[31,59],"activation":[32,60,131],"pattern":[33,80,89,102],"monitoring":[34],"-":[35],"after":[36],"the":[37,47,51,58,87,93,96,105,113,119,128,133],"standard":[38],"training":[39,48,120,147],"process,":[40],"one":[41],"creates":[42],"monitor":[44,97],"feeding":[46],"data":[49],"again":[53],"order":[55],"store":[57],"patterns":[61],"abstract":[63],"form.":[64],"In":[65],"operation,":[66],"classification":[68],"over":[70],"an":[71],"input":[72],"further":[74],"supplemented":[75],"examining":[77],"similar":[81,103],"(measured":[82],"Hamming":[84],"distance)":[85],"generated":[88,106],"contained":[91],"monitor.":[94],"If":[95],"does":[98],"not":[99,116,144],"contain":[100],"any":[101],"pattern,":[107],"raises":[109],"warning":[111],"that":[112],"based":[117],"on":[118,155],"data.":[121],"Our":[122],"experiments":[123],"show":[124],"that,":[125],"adjusting":[127],"similarity-threshold":[129],"for":[130],"patterns,":[132],"monitors":[134],"can":[135],"report":[136],"significant":[138],"portion":[139],"of":[140],"misclassfications":[141],"be":[143],"with":[148],"small":[150],"false-positive":[151],"rate,":[152],"when":[153],"evaluated":[154],"test":[157],"set.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}
