{"id":"https://openalex.org/W4384024815","doi":"https://doi.org/10.1145/3583131.3590477","title":"Adaptive Search-based Repair of Deep Neural Networks","display_name":"Adaptive Search-based Repair of Deep Neural Networks","publication_year":2023,"publication_date":"2023-07-12","ids":{"openalex":"https://openalex.org/W4384024815","doi":"https://doi.org/10.1145/3583131.3590477"},"language":"en","primary_location":{"id":"doi:10.1145/3583131.3590477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583131.3590477","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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/A5092026629","display_name":"Davide Li Calsi","orcid":"https://orcid.org/0000-0002-4745-5374"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Davide Li Calsi","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013622615","display_name":"Mat\u00edas Duran","orcid":"https://orcid.org/0000-0002-5109-4102"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Matias Duran","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024411628","display_name":"Thomas Laurent","orcid":"https://orcid.org/0000-0002-0953-774X"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thomas Laurent","raw_affiliation_strings":["National Institute of Informatics, JSPS International Research Fellow, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, JSPS International Research Fellow, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357458","display_name":"Xiao\u2013Yi Zhang","orcid":"https://orcid.org/0000-0001-7414-8057"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Yi Zhang","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021486887","display_name":"Paolo Arcaini","orcid":"https://orcid.org/0000-0002-6253-4062"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Paolo Arcaini","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103091045","display_name":"Fuyuki Ishikawa","orcid":"https://orcid.org/0000-0001-7725-2618"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fuyuki Ishikawa","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5092026629"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.9924,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.77013423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1527","last_page":"1536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9822999835014343,"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/computer-science","display_name":"Computer science","score":0.7461368441581726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6152962446212769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6059762239456177},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.49629145860671997},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49413254857063293},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.49377235770225525},{"id":"https://openalex.org/keywords/bidirectional-search","display_name":"Bidirectional search","score":0.43892985582351685},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.417831152677536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38302135467529297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3602670431137085},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.32086703181266785},{"id":"https://openalex.org/keywords/incremental-heuristic-search","display_name":"Incremental heuristic search","score":0.27244192361831665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1698245406150818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461368441581726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6152962446212769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6059762239456177},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.49629145860671997},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49413254857063293},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49377235770225525},{"id":"https://openalex.org/C831591","wikidata":"https://www.wikidata.org/wiki/Q59750","display_name":"Bidirectional search","level":5,"score":0.43892985582351685},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.417831152677536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38302135467529297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3602670431137085},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.32086703181266785},{"id":"https://openalex.org/C139979381","wikidata":"https://www.wikidata.org/wiki/Q17056021","display_name":"Incremental heuristic search","level":4,"score":0.27244192361831665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1698245406150818},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583131.3590477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583131.3590477","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1716091338","display_name":null,"funder_award_id":"JPMJMI20B8","funder_id":"https://openalex.org/F4320338243","funder_display_name":"JST-Mirai Program"}],"funders":[{"id":"https://openalex.org/F4320338243","display_name":"JST-Mirai Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2013655083","https://openalex.org/W2056872793","https://openalex.org/W2063387237","https://openalex.org/W2070249305","https://openalex.org/W2128049346","https://openalex.org/W2138428785","https://openalex.org/W2145373440","https://openalex.org/W2156553998","https://openalex.org/W2162045655","https://openalex.org/W2343875716","https://openalex.org/W2424693453","https://openalex.org/W2543580944","https://openalex.org/W2592929672","https://openalex.org/W2733797843","https://openalex.org/W2789767897","https://openalex.org/W2955624337","https://openalex.org/W2958754741","https://openalex.org/W2962715466","https://openalex.org/W2999691867","https://openalex.org/W3007157104","https://openalex.org/W3032749142","https://openalex.org/W3035564946","https://openalex.org/W3042956498","https://openalex.org/W3087720408","https://openalex.org/W3134796670","https://openalex.org/W3149255455","https://openalex.org/W3164255502","https://openalex.org/W3173591235","https://openalex.org/W3208407575","https://openalex.org/W4211198521","https://openalex.org/W4224249875","https://openalex.org/W4225582401","https://openalex.org/W4229031345","https://openalex.org/W4229068576","https://openalex.org/W4229772528","https://openalex.org/W4283068612","https://openalex.org/W4284670965","https://openalex.org/W4286233278","https://openalex.org/W4288614128","https://openalex.org/W4296592009","https://openalex.org/W4318620836","https://openalex.org/W4378418623"],"related_works":["https://openalex.org/W58921990","https://openalex.org/W2402589461","https://openalex.org/W2885402535","https://openalex.org/W1622225657","https://openalex.org/W4390091683","https://openalex.org/W2747118187","https://openalex.org/W2081821176","https://openalex.org/W2358427436","https://openalex.org/W169590971","https://openalex.org/W3192236608"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"are":[4],"finding":[5],"a":[6,28,171,181],"place":[7],"at":[8],"the":[9,45,66,72,76,79,83,86,91,112,116,123,127,140,145,148,154],"heart":[10],"of":[11,126,147,156,173],"more":[12,14],"and":[13,17,75,90,131,177],"critical":[15],"systems,":[16],"it":[18,179],"is":[19],"necessary":[20],"to":[21,47,62,135,138,164],"ensure":[22],"they":[23],"perform":[24],"in":[25,44,85,95],"as":[26,30,71],"correct":[27],"way":[29],"possible.":[31],"Search-based":[32],"repair":[33,108,186],"methods,":[34],"that":[35,109],"search":[36,67,73,92,104,117],"for":[37,40,82,106],"new":[38],"values":[39],"target":[41,113,141],"neuron":[42],"weights":[43,65,80,114],"network":[46,77],"better":[48],"process":[49],"fault-inducing":[50],"inputs,":[51],"have":[52],"shown":[53],"promising":[54],"results.":[55,159],"These":[56],"methods":[57,134],"rely":[58],"on":[59,122,144,153],"fault":[60,120,157],"localisation":[61,121,158],"determine":[63],"what":[64],"should":[68],"target.":[69],"However,":[70],"progresses":[74],"evolves,":[78],"responsible":[81],"faults":[84],"system":[87],"will":[88,93],"change,":[89],"lose":[94],"effectiveness.":[96],"In":[97],"this":[98],"work,":[99],"we":[100],"propose":[101,130],"an":[102],"adaptive":[103],"method":[105],"DNN":[107,168,185],"adaptively":[110],"updates":[111],"during":[115],"by":[118],"performing":[119],"current":[124],"state":[125],"model.":[128],"We":[129,160],"implement":[132],"two":[133,165],"decide":[136],"when":[137],"update":[139],"weights,":[142],"based":[143],"progress":[146],"search's":[149],"fitness":[150],"value":[151],"or":[152],"evolution":[155],"apply":[161],"our":[162],"technique":[163],"image":[166],"classification":[167],"architectures":[169],"against":[170],"dataset":[172],"autonomous":[174],"driving":[175],"images,":[176],"compare":[178],"with":[180],"state-of-the":[182],"art":[183],"search-based":[184],"approach.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
