{"id":"https://openalex.org/W4293428485","doi":"https://doi.org/10.1109/tits.2022.3197713","title":"Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems","display_name":"Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems","publication_year":2022,"publication_date":"2022-08-26","ids":{"openalex":"https://openalex.org/W4293428485","doi":"https://doi.org/10.1109/tits.2022.3197713"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3197713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3197713","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5101615874","display_name":"Peng Xu","orcid":"https://orcid.org/0000-0001-5756-3494"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Xu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360148","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0003-2460-7758"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Wang","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085933596","display_name":"Mohammad Mehedi Hassan","orcid":"https://orcid.org/0000-0002-3479-3606"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammad Mehedi Hassan","raw_affiliation_strings":["Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068618830","display_name":"Chien\u2010Ming Chen","orcid":"https://orcid.org/0000-0002-6502-472X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chien-Ming Chen","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008533","display_name":"Weiguo Lin","orcid":"https://orcid.org/0000-0001-9425-8560"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Lin","raw_affiliation_strings":["State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084403081","display_name":"Md. Rafiul Hassan","orcid":"https://orcid.org/0000-0001-6381-3816"},"institutions":[{"id":"https://openalex.org/I160136153","display_name":"University of Maine at Presque Isle","ror":"https://ror.org/00nk17n43","country_code":"US","type":"education","lineage":["https://openalex.org/I160136153","https://openalex.org/I2802397601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Rafiul Hassan","raw_affiliation_strings":["College of Arts and Sciences, University of Maine at Presque Isle, Presque Isle, ME, USA"],"affiliations":[{"raw_affiliation_string":"College of Arts and Sciences, University of Maine at Presque Isle, Presque Isle, ME, USA","institution_ids":["https://openalex.org/I160136153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023424929","display_name":"Giancarlo Fortino","orcid":"https://orcid.org/0000-0002-4039-891X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giancarlo Fortino","raw_affiliation_strings":["Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101615874"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.5169,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85333941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"8465","last_page":"8474"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.989300012588501,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8324950933456421},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7143109440803528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.642866313457489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5104398131370544},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.44821351766586304},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4322876036167145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3814324140548706},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23936066031455994},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.07522726058959961}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8324950933456421},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7143109440803528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642866313457489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5104398131370544},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.44821351766586304},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4322876036167145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3814324140548706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23936066031455994},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.07522726058959961},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3197713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3197713","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1169233874","display_name":null,"funder_award_id":"RSP2023R18","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"},{"id":"https://openalex.org/G1959512459","display_name":null,"funder_award_id":"SKLMCC2021KF008","funder_id":"https://openalex.org/F4320329139","funder_display_name":"Communication University of China"}],"funders":[{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"},{"id":"https://openalex.org/F4320329139","display_name":"Communication University of China","ror":"https://ror.org/04facbs33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2126105956","https://openalex.org/W2269778407","https://openalex.org/W2520760693","https://openalex.org/W2538525524","https://openalex.org/W2573774505","https://openalex.org/W2584321260","https://openalex.org/W2620038827","https://openalex.org/W2770363598","https://openalex.org/W2784313390","https://openalex.org/W2799148928","https://openalex.org/W2893359234","https://openalex.org/W2896712926","https://openalex.org/W2911377781","https://openalex.org/W2913721303","https://openalex.org/W2938729395","https://openalex.org/W2962851801","https://openalex.org/W2963341057","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W3081084674","https://openalex.org/W3096533519","https://openalex.org/W3098400458","https://openalex.org/W3099097979","https://openalex.org/W3199042663","https://openalex.org/W4293195635","https://openalex.org/W6638523607","https://openalex.org/W6687483927","https://openalex.org/W6726407388","https://openalex.org/W6734483310","https://openalex.org/W6734547106","https://openalex.org/W6753344092","https://openalex.org/W6755305800","https://openalex.org/W6756887525","https://openalex.org/W6767905742","https://openalex.org/W6796873215"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"Edge":[0],"AI":[1,161],"technologies":[2],"have":[3],"been":[4],"used":[5],"for":[6,29,159],"many":[7],"Intelligent":[8],"Transportation":[9],"Systems,":[10],"such":[11],"as":[12],"road":[13],"traffic":[14],"monitor":[15],"systems.":[16,163],"Neural":[17],"Architecture":[18],"Search":[19],"(NAS)":[20],"is":[21,38,50,74,89,143,146],"a":[22,71],"typcial":[23],"way":[24],"to":[25,41,52,61,76,91,148],"search":[26],"high-performance":[27],"models":[28,55,80,97,155],"edge":[30,160],"devices":[31],"with":[32,56,156],"limited":[33],"computing":[34],"resources.":[35],"However,":[36],"NAS":[37,49],"also":[39],"vulnerable":[40],"adversarial":[42,66,127,139,152],"attacks.":[43,140],"In":[44,59],"this":[45],"paper,":[46],"A":[47],"One-Shot":[48,83],"employed":[51],"realize":[53],"derivative":[54],"different":[57,157],"scales.":[58],"order":[60],"study":[62],"the":[63,110,151],"relation":[64],"between":[65,112],"robustness":[67,93,124,136,153],"and":[68,115],"model":[69,116,119,123,131,135],"scales,":[70],"graph-based":[72],"method":[73,88],"designed":[75],"select":[77],"best":[78],"sub":[79],"generated":[81],"from":[82],"NAS.":[84],"Besides,":[85],"an":[86,106],"evaluation":[87],"proposed":[90],"assess":[92],"of":[94,101,154],"deep":[95],"learning":[96],"under":[98,125,137],"various":[99],"scales":[100,158],"models.":[102],"Experimental":[103],"results":[104],"shows":[105],"interesting":[107],"phenomenon":[108,142],"about":[109],"correlations":[111],"network":[113],"sizes":[114],"robustness,":[117],"reducing":[118],"parameters":[120],"will":[121,133],"increase":[122,134],"maximum":[126],"attacks,":[128],"while,":[129],"increasing":[130],"paremters":[132],"minimum":[138],"The":[141],"analyzed,":[144],"that":[145],"able":[147],"help":[149],"understand":[150],"transportation":[162]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
