{"id":"https://openalex.org/W4399118820","doi":"https://doi.org/10.1109/tetci.2024.3400867","title":"Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search","display_name":"Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4399118820","doi":"https://doi.org/10.1109/tetci.2024.3400867"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3400867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3400867","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5038215318","display_name":"Shangshang Yang","orcid":"https://orcid.org/0000-0003-0837-5424"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shangshang Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0837-5424","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108936963","display_name":"Xiangkun Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangkun Sun","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0004-4018-0891","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755853","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0001-6266-4257"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6266-4257","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101881570","display_name":"Yuanchao Liu","orcid":"https://orcid.org/0000-0002-7959-3712"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchao Liu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7959-3712","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058755242","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-3487-5126"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Tian","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3487-5126","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028634381","display_name":"Xingyi Zhang","orcid":"https://orcid.org/0000-0002-5052-000X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyi Zhang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5052-000X","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038215318"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":2.3179,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89546179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":"4","first_page":"2919","last_page":"2934"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9751999974250793,"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"}},{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/robustness","display_name":"Robustness (evolution)","score":0.6660084128379822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625308394432068},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6215155720710754},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5821170806884766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.560929000377655},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4737095236778259},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45667359232902527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4336436986923218},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3299938440322876},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1105315089225769}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6660084128379822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625308394432068},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6215155720710754},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5821170806884766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.560929000377655},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4737095236778259},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45667359232902527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4336436986923218},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3299938440322876},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1105315089225769},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3400867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3400867","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1224849231","display_name":null,"funder_award_id":"2023M740015","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2757623951","display_name":null,"funder_award_id":"U21A20512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G68255097","display_name":null,"funder_award_id":"62206003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G716094924","display_name":null,"funder_award_id":"62276001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7749118475","display_name":null,"funder_award_id":"62302010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G800914696","display_name":null,"funder_award_id":"62136008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8224461771","display_name":null,"funder_award_id":"2308085J03","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W2108598243","https://openalex.org/W2117287331","https://openalex.org/W2126105956","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2620038827","https://openalex.org/W2765424254","https://openalex.org/W2883780447","https://openalex.org/W2887603965","https://openalex.org/W2894825269","https://openalex.org/W2946547492","https://openalex.org/W2946739419","https://openalex.org/W2954234207","https://openalex.org/W2955808183","https://openalex.org/W2962700793","https://openalex.org/W2962759300","https://openalex.org/W2963163009","https://openalex.org/W2963341057","https://openalex.org/W2963587345","https://openalex.org/W2963744840","https://openalex.org/W2964081807","https://openalex.org/W2964082701","https://openalex.org/W2964137095","https://openalex.org/W2970680991","https://openalex.org/W3035467354","https://openalex.org/W3042430031","https://openalex.org/W3094502228","https://openalex.org/W3103557498","https://openalex.org/W3107235539","https://openalex.org/W3109552991","https://openalex.org/W3110617944","https://openalex.org/W3118608800","https://openalex.org/W3135970545","https://openalex.org/W3145185940","https://openalex.org/W3150234500","https://openalex.org/W3158981988","https://openalex.org/W3163465952","https://openalex.org/W3172509117","https://openalex.org/W3182590016","https://openalex.org/W3190601614","https://openalex.org/W3212212126","https://openalex.org/W4205761328","https://openalex.org/W4220899582","https://openalex.org/W4288301753","https://openalex.org/W4290714076","https://openalex.org/W4308245819","https://openalex.org/W4312518191","https://openalex.org/W4312633378","https://openalex.org/W4312957757","https://openalex.org/W4313413157","https://openalex.org/W4319459161","https://openalex.org/W4380187023","https://openalex.org/W4383750379","https://openalex.org/W4385488489","https://openalex.org/W4386066141","https://openalex.org/W4390421890","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6739360251","https://openalex.org/W6739868092","https://openalex.org/W6743446608","https://openalex.org/W6744114936","https://openalex.org/W6744679260","https://openalex.org/W6746178550","https://openalex.org/W6759158001","https://openalex.org/W6762707182","https://openalex.org/W6771356089","https://openalex.org/W6771809012","https://openalex.org/W6780958898","https://openalex.org/W6784333009","https://openalex.org/W6787972765","https://openalex.org/W6795140394","https://openalex.org/W6801430093","https://openalex.org/W6802545238","https://openalex.org/W6803813760","https://openalex.org/W6811002592","https://openalex.org/W6846279210","https://openalex.org/W6853839553"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W3217600415","https://openalex.org/W3212638064","https://openalex.org/W2154044472","https://openalex.org/W4210772589"],"abstract_inverted_index":{"The":[0],"robustness":[1,22,77],"of":[2,41,87,115,137,183,237,246],"neural":[3,45,98],"networks":[4,46,83,116],"in":[5,117,235],"image":[6],"classification":[7],"is":[8,128,161,171,191],"important":[9],"to":[10,18,74,109,193,208],"resist":[11],"adversarial":[12,65,181,241],"attacks.":[13,248],"Although":[14],"many":[15],"researchers":[16],"proposed":[17,229],"enhance":[19,75],"the":[20,118,132,166,195,215,223,228],"network":[21,25,30,76,120,127],"by":[23,78,227],"inventing":[24],"training":[26],"paradigms":[27],"or":[28,48,111],"designing":[29,79],"architectures,":[31,184],"existing":[32],"approaches":[33],"are":[34,147,206],"mainly":[35],"based":[36],"on":[37],"a":[38,53,94,122,156,198,203,244],"single":[39],"type":[40],"networks,":[42],"e.g.,":[43],"convolution":[44,140],"(CNNs)":[47],"vision":[49],"Transformer":[50,142],"(ViT).":[51],"Considering":[52],"recently":[54],"revealed":[55],"fact":[56],"that":[57,222],"CNNs":[58],"and":[59,154,180,185,202,213,240],"ViT":[60],"can":[61],"effectively":[62],"defend":[63],"against":[64],"attacks":[66],"transferred":[67],"from":[68],"each":[69,151],"other,":[70],"this":[71,90],"paper":[72],"aims":[73],"robust":[80,103,167],"hybrid":[81,95,125,157,168,224],"architecture":[82,99,104,126,169],"containing":[84],"different":[85,113],"types":[86,114,136],"networks.":[88],"To":[89],"end,":[91],"we":[92],"propose":[93],"architecture-based":[96,158],"evolutionary":[97,189],"search":[100,159,170,217],"approach":[101],"for":[102,163],"design,":[105],"termed":[106],"HA-ENAS.":[107],"Specifically,":[108],"combine":[110],"aggregate":[112],"same":[119],"framework,":[121],"multi-stage":[123],"block-wise":[124],"first":[129],"devised":[130],"as":[131,150,173],"supernet,":[133],"where":[134,197],"three":[135],"blocks":[138],"(called":[139],"blocks,":[141,143],"multi-layer":[144],"perception":[145],"blocks)":[146],"further":[148],"designed":[149],"block's":[152],"candidate,":[153],"thus":[155],"space":[160],"established":[162],"HA-ENAS;":[164],"then,":[165],"formulated":[172],"an":[174,186],"optimization":[175],"problem":[176],"maximizing":[177],"both":[178],"clean":[179,238],"accuracy":[182,239,242],"efficient":[187],"multi-objective":[188],"algorithm":[190],"employed":[192],"solve":[194],"problem,":[196],"supernet-based":[199],"retraining":[200],"evaluation":[201],"surrogate":[204],"model":[205],"used":[207],"mitigate":[209],"coupled":[210],"weight":[211],"influence":[212],"reduce":[214],"whole":[216],"cost.":[218],"Experimental":[219],"results":[220],"show":[221],"architectures":[225,234],"found":[226],"HA-ENAS":[230],"outperform":[231],"state-of-the-art":[232],"single-type":[233],"terms":[236],"under":[243],"variety":[245],"common":[247]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}