{"id":"https://openalex.org/W2762867797","doi":"https://doi.org/10.1109/infocom.2017.8056955","title":"Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval","display_name":"Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2762867797","doi":"https://doi.org/10.1109/infocom.2017.8056955","mag":"2762867797"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2017.8056955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8056955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","raw_type":"proceedings-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/A5100391116","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-8967-8525"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, P. R. China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081287468","display_name":"Shengshan Hu","orcid":"https://orcid.org/0000-0003-0042-9045"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4391768271","display_name":"State Key Laboratory of Software Engineering","ror":"https://ror.org/01z3jn402","country_code":null,"type":"facility","lineage":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengshan Hu","raw_affiliation_strings":["The State Key Lab of Software Engineering, Wuhan University, P. R. China"],"affiliations":[{"raw_affiliation_string":"The State Key Lab of Software Engineering, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083712477","display_name":"Minxin Du","orcid":"https://orcid.org/0000-0001-6620-6923"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4391768271","display_name":"State Key Laboratory of Software Engineering","ror":"https://ror.org/01z3jn402","country_code":null,"type":"facility","lineage":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxin Du","raw_affiliation_strings":["The State Key Lab of Software Engineering, Wuhan University, P. R. China"],"affiliations":[{"raw_affiliation_string":"The State Key Lab of Software Engineering, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007913579","display_name":"Jingjun Wang","orcid":"https://orcid.org/0000-0001-9630-2975"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4391768271","display_name":"State Key Laboratory of Software Engineering","ror":"https://ror.org/01z3jn402","country_code":null,"type":"facility","lineage":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjun Wang","raw_affiliation_strings":["The State Key Lab of Software Engineering, Wuhan University, P. R. China"],"affiliations":[{"raw_affiliation_string":"The State Key Lab of Software Engineering, Wuhan University, P. R. China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4391768271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000596496","display_name":"Kui Ren","orcid":"https://orcid.org/0000-0003-3441-6277"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kui Ren","raw_affiliation_strings":["Dept. of CSE, The State University of New York, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of CSE, The State University of New York, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100391116"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":3.1156,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93469254,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9894999861717224,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/canonical-correlation","display_name":"Canonical correlation","score":0.7166558504104614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6988378763198853},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5853617787361145},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44532129168510437},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4203495383262634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3125074803829193},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.2965750992298126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17645308375358582}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.7166558504104614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6988378763198853},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5853617787361145},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44532129168510437},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4203495383262634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3125074803829193},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2965750992298126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17645308375358582},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2017.8056955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8056955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W162878246","https://openalex.org/W236632755","https://openalex.org/W1486317198","https://openalex.org/W1690919088","https://openalex.org/W1886211768","https://openalex.org/W1971991172","https://openalex.org/W2008502068","https://openalex.org/W2031738616","https://openalex.org/W2045597647","https://openalex.org/W2074356711","https://openalex.org/W2083287929","https://openalex.org/W2088492763","https://openalex.org/W2100235303","https://openalex.org/W2106217851","https://openalex.org/W2106277773","https://openalex.org/W2119948977","https://openalex.org/W2132172731","https://openalex.org/W2167094273","https://openalex.org/W2181516572","https://openalex.org/W2187242020","https://openalex.org/W2216674905","https://openalex.org/W2406176316","https://openalex.org/W2607981406","https://openalex.org/W2911978475","https://openalex.org/W4242722506","https://openalex.org/W6606624519","https://openalex.org/W6677829731","https://openalex.org/W6758947373"],"related_works":["https://openalex.org/W2367413540","https://openalex.org/W1968846550","https://openalex.org/W1991315556","https://openalex.org/W4387164999","https://openalex.org/W2070623039","https://openalex.org/W2006749424","https://openalex.org/W3131670725","https://openalex.org/W2155515508","https://openalex.org/W2334424990","https://openalex.org/W2354853260"],"abstract_inverted_index":{"A":[0],"massive":[1],"explosion":[2],"of":[3,6,132,213],"various":[4,137],"types":[5],"data":[7,18,46,72,155],"has":[8,119],"been":[9,120],"triggered":[10],"in":[11,30,60,123,232,238],"the":[12,61,99,159,185,188,200,206,211,233],"\u201cBig":[13],"Data\u201d":[14],"era.":[15],"In":[16,94],"big":[17,45],"systems,":[19],"machine":[20],"learning":[21,90,116],"plays":[22],"an":[23,41],"important":[24],"role":[25],"due":[26],"to":[27,69,82,135,168],"its":[28],"effectiveness":[29,212],"discovering":[31],"hidden":[32],"information":[33],"and":[34,55,65,118,148,165,187,195,208,235],"valuable":[35],"knowledge.":[36],"Data":[37],"privacy,":[38],"however,":[39],"becomes":[40],"unavoidable":[42],"concern":[43],"since":[44],"usually":[47],"involve":[48],"multiple":[49],"organizations,":[50],"e.g.,":[51],"different":[52],"healthcare":[53],"systems":[54],"hospitals,":[56],"who":[57],"are":[58],"not":[59],"same":[62],"trust":[63],"domain":[64],"may":[66],"be":[67],"reluctant":[68],"share":[70],"their":[71],"publicly.":[73],"Applying":[74],"traditional":[75],"cryptographic":[76],"tools":[77],"is":[78,113,222],"a":[79,103,114,130,169],"straightforward":[80],"approach":[81],"protect":[83],"sensitive":[84],"information,":[85],"but":[86],"it":[87,167],"often":[88],"renders":[89],"algorithms":[91],"useless":[92],"inevitably.":[93],"this":[95],"work,":[96],"we,":[97],"for":[98,107,177],"first":[100,128],"time,":[101],"propose":[102],"novel":[104],"privacy-preserving":[105,178],"scheme":[106,221],"canonical":[108],"correlation":[109],"analysis":[110],"(CCA),":[111],"which":[112],"well-known":[115],"technique":[117],"widely":[121],"used":[122],"cross-media":[124,239],"retrieval":[125,240],"system.":[126],"We":[127,203],"develop":[129],"library":[131],"building":[133],"blocks":[134],"support":[136],"arithmetics":[138],"over":[139,199],"encrypted":[140],"real":[141],"numbers":[142],"by":[143,156,173,191],"leveraging":[144],"additively":[145],"homomorphic":[146],"encryption":[147],"garbled":[149],"circuits.":[150],"Then":[151],"we":[152,182],"encrypt":[153],"private":[154],"randomly":[157],"splitting":[158],"numerical":[160],"data,":[161],"formalize":[162],"CCA":[163,231],"problem":[164,172],"reduce":[166],"symmetric":[170],"eigenvalue":[171],"designing":[174],"new":[175],"protocols":[176],"QR":[179],"decomposition.":[180],"Finally,":[181],"solve":[183],"all":[184],"eigenvalues":[186],"corresponding":[189],"eigenvectors":[190],"running":[192],"Newton-Raphson":[193],"method":[194,198],"inverse":[196],"power":[197],"ciphertext":[201],"domain.":[202],"carefully":[204],"analyze":[205],"security":[207],"extensively":[209],"evaluate":[210],"our":[214,220],"design.":[215],"The":[216],"results":[217],"show":[218],"that":[219],"practically":[223],"secure,":[224],"incurs":[225],"negligible":[226],"errors":[227],"compared":[228],"with":[229],"performing":[230],"clear":[234],"performs":[236],"comparably":[237],"systems.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
