{"id":"https://openalex.org/W3005002459","doi":"https://doi.org/10.1109/tifs.2021.3097822","title":"Privacy-Preserving Boosting in the Local Setting","display_name":"Privacy-Preserving Boosting in the Local Setting","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3005002459","doi":"https://doi.org/10.1109/tifs.2021.3097822","mag":"3005002459"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2021.3097822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2021.3097822","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.02096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100350734","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0001-8457-9571"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sen Wang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8457-9571","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055158787","display_name":"J. Morris Chang","orcid":"https://orcid.org/0000-0002-0660-7191"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Morris Chang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0660-7191","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100350734"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51253977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"4451","last_page":"4465"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9929999709129333,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8643049001693726},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7923099994659424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702193260192871},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6272948384284973},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6147048473358154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6137118935585022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5480350852012634},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.5237017869949341},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.463054895401001},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4164765477180481},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39185765385627747},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.27293673157691956},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.250764399766922}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8643049001693726},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7923099994659424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702193260192871},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6272948384284973},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6147048473358154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6137118935585022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5480350852012634},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.5237017869949341},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.463054895401001},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4164765477180481},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39185765385627747},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.27293673157691956},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.250764399766922}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tifs.2021.3097822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2021.3097822","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2002.02096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.02096","pdf_url":"https://arxiv.org/pdf/2002.02096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3005002459","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2002.02096.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2002.02096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.02096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.02096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.02096","pdf_url":"https://arxiv.org/pdf/2002.02096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3005002459.pdf"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1565377632","https://openalex.org/W1589195347","https://openalex.org/W1873763122","https://openalex.org/W1968969471","https://openalex.org/W1981029888","https://openalex.org/W1988790447","https://openalex.org/W1993116423","https://openalex.org/W1997690112","https://openalex.org/W2000374050","https://openalex.org/W2013823004","https://openalex.org/W2053801139","https://openalex.org/W2081769211","https://openalex.org/W2082874195","https://openalex.org/W2093717447","https://openalex.org/W2110287632","https://openalex.org/W2112022568","https://openalex.org/W2121727866","https://openalex.org/W2123175289","https://openalex.org/W2123820077","https://openalex.org/W2135293965","https://openalex.org/W2135930857","https://openalex.org/W2141420453","https://openalex.org/W2147435839","https://openalex.org/W2149706766","https://openalex.org/W2150957322","https://openalex.org/W2151625787","https://openalex.org/W2155325661","https://openalex.org/W2421389337","https://openalex.org/W2490306540","https://openalex.org/W2516766389","https://openalex.org/W2586297576","https://openalex.org/W2609611988","https://openalex.org/W2736175436","https://openalex.org/W2736194861","https://openalex.org/W2742225091","https://openalex.org/W2754602126","https://openalex.org/W2792706211","https://openalex.org/W2792817205","https://openalex.org/W2793685318","https://openalex.org/W2794674331","https://openalex.org/W2799040448","https://openalex.org/W2799331111","https://openalex.org/W2860079600","https://openalex.org/W2911978475","https://openalex.org/W2912934387","https://openalex.org/W2942731499","https://openalex.org/W2962859574","https://openalex.org/W2963456518","https://openalex.org/W2963559079","https://openalex.org/W2963629772","https://openalex.org/W2963881987","https://openalex.org/W2964074929","https://openalex.org/W2998640192","https://openalex.org/W3004732066","https://openalex.org/W3016632787","https://openalex.org/W3026685397","https://openalex.org/W3083262350","https://openalex.org/W3102407811","https://openalex.org/W3102859907","https://openalex.org/W3102891118","https://openalex.org/W3110476438","https://openalex.org/W4212883601","https://openalex.org/W6631264160","https://openalex.org/W6639246211","https://openalex.org/W6651608069","https://openalex.org/W6676246221","https://openalex.org/W6677892458","https://openalex.org/W6692940648","https://openalex.org/W6696286401","https://openalex.org/W6728757088","https://openalex.org/W6741298909","https://openalex.org/W6742396582","https://openalex.org/W6764838729"],"related_works":["https://openalex.org/W3194459593","https://openalex.org/W1990534671","https://openalex.org/W2973746335","https://openalex.org/W1585030920","https://openalex.org/W2950414350","https://openalex.org/W2626225205","https://openalex.org/W2121727866","https://openalex.org/W2582328856","https://openalex.org/W2095963390","https://openalex.org/W3119922393","https://openalex.org/W2996288166","https://openalex.org/W3048511172","https://openalex.org/W2793382159","https://openalex.org/W3015983782","https://openalex.org/W2794222060","https://openalex.org/W2900598269","https://openalex.org/W2117300520","https://openalex.org/W87216129","https://openalex.org/W3206092949","https://openalex.org/W2184032726"],"abstract_inverted_index":{"In":[0,122],"machine":[1,92],"learning,":[2],"boosting":[3,130,150],"is":[4,12,70,81,169],"one":[5],"of":[6,78,139,155],"the":[7,40,45,73,76,91,117,148,153,156,162,173,181,189],"most":[8],"popular":[9],"methods":[10],"that":[11,90,132,167,180],"designed":[13],"to":[14,63,115,136,160],"combine":[15],"multiple":[16],"base":[17,163],"learners":[18],"into":[19],"a":[20,127,145,193],"superior":[21],"one.":[22],"The":[23,67],"well-known":[24],"Boosted":[25],"Decision":[26],"Tree":[27],"classifier":[28],"has":[29,102],"been":[30,103],"widely":[31],"adopted":[32],"in":[33,43],"data":[34,74,113,118,158,175],"mining":[35],"and":[36,50,58,80,188],"pattern":[37],"recognition.":[38],"With":[39],"emerging":[41],"challenge":[42],"privacy,":[44],"personal":[46],"images,":[47],"browsing":[48],"history,":[49],"financial":[51],"reports,":[52],"which":[53,111,165],"are":[54,60],"held":[55],"by":[56],"individuals":[57],"entities":[59],"more":[61],"likely":[62],"contain":[64],"sensitive":[65],"information.":[66],"privacy":[68,87,108,168],"concern":[69],"intensified":[71],"when":[72],"leaves":[75],"hand":[77],"owners":[79,114],"used":[82],"for":[83,172],"further":[84],"mining.":[85],"Such":[86],"issues":[88],"demand":[89],"learning":[93],"algorithms":[94],"should":[95],"be":[96,134],"privacy-aware.":[97],"Recently,":[98],"Local":[99],"Differential":[100],"Privacy":[101],"proposed":[104,149,182],"as":[105,144],"an":[106],"effective":[107],"protection":[109],"approach,":[110],"allows":[112],"perturb":[116],"before":[119],"any":[120],"release.":[121],"this":[123],"paper,":[124],"we":[125],"propose":[126],"distributed":[128],"privacy-preserving":[129],"algorithm":[131,151,183],"can":[133],"applied":[135],"various":[137,186],"types":[138],"classifiers.":[140],"By":[141],"adopting":[142],"LDP":[143],"building":[146],"block,":[147],"leverages":[152],"aggregation":[154],"perturbed":[157],"shares":[159],"build":[161],"learner,":[164],"ensures":[166],"well":[170],"preserved":[171],"participated":[174],"owners.":[176],"Our":[177],"experiments":[178],"demonstrate":[179],"effectively":[184],"boosts":[185],"classifiers":[187,191],"boosted":[190],"maintain":[192],"high":[194],"utility.":[195]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
