{"id":"https://openalex.org/W4408452289","doi":"https://doi.org/10.1007/s11063-025-11738-w","title":"Privacy-Preserving Text Classification on Deep Neural Network","display_name":"Privacy-Preserving Text Classification on Deep Neural Network","publication_year":2025,"publication_date":"2025-03-14","ids":{"openalex":"https://openalex.org/W4408452289","doi":"https://doi.org/10.1007/s11063-025-11738-w"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-025-11738-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11738-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11738-w.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11738-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047532570","display_name":"Kunhong Li","orcid":"https://orcid.org/0000-0002-5708-1812"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kunhong Li","raw_affiliation_strings":["School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026061161","display_name":"Ruwei Huang","orcid":"https://orcid.org/0000-0002-2459-8823"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruwei Huang","raw_affiliation_strings":["School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453364","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-8266-7690"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047532570"],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":11.7157,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98015956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"57","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9998000264167786,"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/T10237","display_name":"Cryptography and Data Security","score":0.9998000264167786,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computational-intelligence","display_name":"Computational intelligence","score":0.7381947636604309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641755223274231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5842773914337158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43792539834976196},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42009374499320984}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7381947636604309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641755223274231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5842773914337158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43792539834976196},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42009374499320984}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-025-11738-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11738-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11738-w.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-025-11738-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11738-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11738-w.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7206518317","display_name":null,"funder_award_id":"62062009","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408452289.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1504573138","https://openalex.org/W1981276685","https://openalex.org/W2031533839","https://openalex.org/W2400700555","https://openalex.org/W2701059868","https://openalex.org/W2768174108","https://openalex.org/W2899140612","https://openalex.org/W2924179447","https://openalex.org/W2942255051","https://openalex.org/W2963106566","https://openalex.org/W2964110616","https://openalex.org/W2969350772","https://openalex.org/W3038021883","https://openalex.org/W3094488859","https://openalex.org/W3108146280","https://openalex.org/W3191404055","https://openalex.org/W3211580920","https://openalex.org/W4287854684","https://openalex.org/W6605120619","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,7,58,69,109,126,138,143,148,152,163,166,183,186],"explosive":[2],"growth":[3],"of":[4,9,78,128,151,185],"Internet":[5,11],"information,":[6],"classification":[8,22,49,71,96,158],"massive":[10],"data":[12,56,80,123,130],"plays":[13],"a":[14,76,93],"very":[15],"important":[16],"role":[17],"in":[18,27,84,108],"real":[19],"life.":[20],"Text":[21],"has":[23],"been":[24],"widely":[25],"used":[26],"spam":[28],"text":[29,33,48,95,157],"recognition,":[30,32,37],"intention":[31],"matching,":[34],"named":[35],"entity":[36],"and":[38,67,81,104,132,172,180],"other":[39],"fields.":[40],"At":[41],"present,":[42],"many":[43],"enterprises":[44],"provide":[45],"APIs":[46],"for":[47,50,65,176],"users.":[51],"Users":[52],"can":[53,119],"upload":[54],"their":[55,129],"to":[57,141],"cloud":[59],"server":[60],"deployed":[61],"by":[62,137,168],"service":[63,139],"providers":[64],"analysis,":[66],"return":[68],"final":[70],"results.":[72],"However,":[73],"there":[74],"is":[75],"risk":[77],"user":[79,118,133],"model":[82,107],"leakage":[83],"this":[85,89],"process.":[86],"To":[87],"solve":[88],"problem,":[90],"we":[91,181],"propose":[92],"privacy-preserving":[94],"scheme":[97,103,115],"using":[98],"CKKS":[99],"fully":[100,160],"homomorphic":[101,161],"encryption":[102],"self-attention":[105],"mechanism":[106],"multi-party":[110],"security":[111,184],"computing":[112],"scenario.":[113],"Our":[114],"ensures":[116],"that":[117],"achieve":[120],"efficient":[121],"encrypted":[122],"analysis":[124],"under":[125,159],"premise":[127],"security,":[131],"must":[134],"be":[135],"authorized":[136],"provider":[140],"use":[142],"model.":[144],"Finally,":[145],"compared":[146],"with":[147],"experimental":[149],"results":[150],"previous":[153],"research":[154],"on":[155],"privacy":[156],"encryption,":[162],"implementation":[164],"improves":[165],"accuracy":[167],"7.97%":[169],"at":[170,178],"most":[171],"speed-ups":[173],"282.4":[174],"times":[175],"inference":[177],"most,":[179],"ensure":[182],"protocol":[187],"participants.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
