{"id":"https://openalex.org/W3044684127","doi":"https://doi.org/10.1007/s11036-020-01618-z","title":"Classifiers Protected against Attacks by Fusion of Multi-Branch Perturbed GAN","display_name":"Classifiers Protected against Attacks by Fusion of Multi-Branch Perturbed GAN","publication_year":2020,"publication_date":"2020-07-22","ids":{"openalex":"https://openalex.org/W3044684127","doi":"https://doi.org/10.1007/s11036-020-01618-z","mag":"3044684127"},"language":"en","primary_location":{"id":"doi:10.1007/s11036-020-01618-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11036-020-01618-z","pdf_url":null,"source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","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/A5075561363","display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0003-2396-5983"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["Academy of mathematics and systems science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of mathematics and systems science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057654320","display_name":"Mengjing Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjing Yu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, 510631, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030526156","display_name":"Qingzhen Xu","orcid":"https://orcid.org/0000-0001-6687-8367"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingzhen Xu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, 510631, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781385","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0001-5099-6991"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Gao","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China","institution_ids":["https://openalex.org/I120379545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100781385"],"corresponding_institution_ids":["https://openalex.org/I120379545"],"apc_list":{"value":3390,"currency":"USD","value_usd":3390},"apc_paid":null,"fwci":0.134,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58036301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":"6","first_page":"2321","last_page":"2335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9957000017166138,"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":0.9957000017166138,"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":0.9955999851226807,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/discriminator","display_name":"Discriminator","score":0.9488207101821899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8277691602706909},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8121048212051392},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.674444854259491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5833514928817749},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49600157141685486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48507657647132874},{"id":"https://openalex.org/keywords/control-flow-graph","display_name":"Control flow graph","score":0.48270201683044434},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.466695100069046},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4127635955810547},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4002923369407654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32084232568740845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31090134382247925},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11935022473335266},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11282023787498474},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11175358295440674},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.09448063373565674}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9488207101821899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277691602706909},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8121048212051392},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.674444854259491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5833514928817749},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49600157141685486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48507657647132874},{"id":"https://openalex.org/C27458966","wikidata":"https://www.wikidata.org/wiki/Q1187693","display_name":"Control flow graph","level":2,"score":0.48270201683044434},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.466695100069046},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4127635955810547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4002923369407654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32084232568740845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31090134382247925},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11935022473335266},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11282023787498474},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11175358295440674},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.09448063373565674},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11036-020-01618-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11036-020-01618-z","pdf_url":null,"source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7009782637","display_name":null,"funder_award_id":"2015A030313382","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G825238769","display_name":null,"funder_award_id":"61402185","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2109255472","https://openalex.org/W2109647581","https://openalex.org/W2170133612","https://openalex.org/W2543927648","https://openalex.org/W2594717275","https://openalex.org/W2618043096","https://openalex.org/W2763904940","https://openalex.org/W2802676081","https://openalex.org/W2802689330","https://openalex.org/W2810251543","https://openalex.org/W2894662919","https://openalex.org/W2899271708","https://openalex.org/W2950688394","https://openalex.org/W2954149297","https://openalex.org/W2962700793","https://openalex.org/W2962803742","https://openalex.org/W2963068442","https://openalex.org/W2963100962","https://openalex.org/W2963178695","https://openalex.org/W2963184668","https://openalex.org/W2963207607","https://openalex.org/W2963431851","https://openalex.org/W2963855547","https://openalex.org/W2964082701","https://openalex.org/W3003545729","https://openalex.org/W3012192432","https://openalex.org/W3030153091","https://openalex.org/W6718379498"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4293400715","https://openalex.org/W3049340819","https://openalex.org/W4308928038","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W3112293331","https://openalex.org/W2808862658","https://openalex.org/W3209610097","https://openalex.org/W4322709305"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}
