{"id":"https://openalex.org/W3131151437","doi":"https://doi.org/10.1109/mnet.011.2000356","title":"Hyper-Noise Interference Privacy Protection Framework for Intelligent Medical Data-Centric Networks","display_name":"Hyper-Noise Interference Privacy Protection Framework for Intelligent Medical Data-Centric Networks","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3131151437","doi":"https://doi.org/10.1109/mnet.011.2000356","mag":"3131151437"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.011.2000356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000356","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","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/A5002339773","display_name":"Wanqing Wu","orcid":"https://orcid.org/0000-0001-7594-1487"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqing Wu","raw_affiliation_strings":["School of Biomedical Engineering, Sun Yat-Sen Unviersity"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-Sen Unviersity","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036979531","display_name":"Haoke Zhang","orcid":"https://orcid.org/0000-0001-7309-2506"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoke Zhang","raw_affiliation_strings":["School of System Science and Engineering, Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of System Science and Engineering, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045093520","display_name":"Victor Hugo C. de Albuquerque","orcid":"https://orcid.org/0000-0003-3886-4309"},"institutions":[{"id":"https://openalex.org/I3125581668","display_name":"Universidade de Fortaleza","ror":"https://ror.org/02ynbzc81","country_code":"BR","type":"education","lineage":["https://openalex.org/I3125581668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Victor Hugo C. de Albuquerque","raw_affiliation_strings":["University of Fortaleza"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Fortaleza","institution_ids":["https://openalex.org/I3125581668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012511212","display_name":"Lin Xu","orcid":"https://orcid.org/0000-0001-7750-8011"},"institutions":[{"id":"https://openalex.org/I4210088873","display_name":"Third Affiliated Hospital of Southern Medical University","ror":"https://ror.org/0050r1b65","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088873"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Xu","raw_affiliation_strings":["General Hospital of the Southern Theatre Command and The First School of Clinical Medicine, Southern Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Hospital of the Southern Theatre Command and The First School of Clinical Medicine, Southern Medical University","institution_ids":["https://openalex.org/I4210088873"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9126,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81307436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"1","first_page":"333","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9696000218391418,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.847074031829834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.803403913974762},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7083603143692017},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5848913788795471},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5031947493553162},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.49560725688934326},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45234692096710205},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41118383407592773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40081945061683655},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3686080873012543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3640190660953522},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3552277684211731},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3272186517715454}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.847074031829834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803403913974762},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7083603143692017},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5848913788795471},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5031947493553162},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.49560725688934326},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45234692096710205},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41118383407592773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40081945061683655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3686080873012543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3640190660953522},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3552277684211731},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3272186517715454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.011.2000356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000356","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G6088685675","display_name":null,"funder_award_id":"61873349,61976222","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2162273778","https://openalex.org/W2532781556","https://openalex.org/W2535690855","https://openalex.org/W2781091734","https://openalex.org/W2785361959","https://openalex.org/W2799040448","https://openalex.org/W2941227905","https://openalex.org/W2946984295","https://openalex.org/W2949619619","https://openalex.org/W2954060546","https://openalex.org/W2955103784","https://openalex.org/W2955648404","https://openalex.org/W2963374540","https://openalex.org/W2963844355","https://openalex.org/W3002328320","https://openalex.org/W3013629901","https://openalex.org/W4297799122","https://openalex.org/W6728897251","https://openalex.org/W6747732332"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W2571704763","https://openalex.org/W4315488958"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2],"(CNN)":[3],"has":[4,35],"been":[5],"widely":[6],"used":[7,105],"in":[8,106],"the":[9,40,43,66,80,107,114,120],"medical":[10,72],"domain,":[11],"but":[12],"how":[13],"to":[14,31,64,79,138],"protect":[15,65],"privacy":[16,25,67],"is":[17,60,135],"still":[18,127],"a":[19,36,49],"challenge.":[20],"In":[21,45],"addition,":[22],"traditional":[23],"differential":[24],"protection":[26],"methods":[27],"are":[28],"very":[29],"sensitive":[30,137],"noise;":[32],"hyper-scale":[33],"noise":[34,78,117],"serious":[37],"effect":[38],"on":[39],"validity":[41],"of":[42,56,68,84,95,116,122],"network.":[44],"this":[46],"article,":[47],"therefore,":[48],"novel":[50],"framework":[51],"named":[52],"improved":[53],"private":[54],"aggregation":[55],"teacher":[57],"ensembles":[58],"(IPATE)":[59],"proposed.":[61],"IPATE":[62,125],"aims":[63],"trained":[69],"models":[70],"and":[71,100,118,133],"data":[73,94],"by":[74],"adding":[75],"hyperscale":[76],"Laplace":[77],"extended":[81],"voting":[82],"difference":[83],"many":[85],"CNN":[86],"models.":[87],"An":[88],"experimental":[89],"example":[90],"including":[91],"12":[92],"leads":[93],"148":[96],"myocardial":[97],"infarction":[98],"patients":[99],"52":[101],"normal":[102],"subjects":[103],"was":[104],"study.":[108],"Experimental":[109],"results":[110],"show":[111],"that":[112],"with":[113],"increase":[115],"under":[119],"condition":[121],"limited":[123],"data,":[124],"can":[126],"achieve":[128],"about":[129],"90":[130],"percent":[131],"accuracy,":[132],"it":[134],"not":[136],"noise.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
