{"id":"https://openalex.org/W2944833923","doi":"https://doi.org/10.1109/pccc.2018.8711248","title":"A Fast Secure Outsourcing of Ridge Regression Based on Singular-Value Decomposition","display_name":"A Fast Secure Outsourcing of Ridge Regression Based on Singular-Value Decomposition","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2944833923","doi":"https://doi.org/10.1109/pccc.2018.8711248","mag":"2944833923"},"language":"en","primary_location":{"id":"doi:10.1109/pccc.2018.8711248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2018.8711248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC)","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/A5100602366","display_name":"Shuyi Zhang","orcid":"https://orcid.org/0000-0002-1501-7847"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuyi Zhang","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102420961","display_name":"Shiran Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiran Pan","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757829","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8598-0831"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011886723","display_name":"Qiongxiao Wang","orcid":"https://orcid.org/0000-0002-8012-8295"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiongxiao Wang","raw_affiliation_strings":["State Key Laboratory of Information Security, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100602366"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49941557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"54","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.994700014591217,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.739724338054657},{"id":"https://openalex.org/keywords/outsourcing","display_name":"Outsourcing","score":0.697952389717102},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.6564042568206787},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5464410781860352},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5394130349159241},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49713876843452454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4950098395347595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37344372272491455},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3455129861831665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2618114948272705},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21831992268562317},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10609269142150879}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.739724338054657},{"id":"https://openalex.org/C46934059","wikidata":"https://www.wikidata.org/wiki/Q61515","display_name":"Outsourcing","level":2,"score":0.697952389717102},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.6564042568206787},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5464410781860352},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5394130349159241},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49713876843452454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4950098395347595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37344372272491455},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3455129861831665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2618114948272705},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21831992268562317},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10609269142150879},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pccc.2018.8711248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2018.8711248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W162878246","https://openalex.org/W1571821840","https://openalex.org/W1601098769","https://openalex.org/W1668832184","https://openalex.org/W1968265138","https://openalex.org/W1989314419","https://openalex.org/W2018116424","https://openalex.org/W2089137303","https://openalex.org/W2093909024","https://openalex.org/W2114296561","https://openalex.org/W2115549875","https://openalex.org/W2136624667","https://openalex.org/W2296131993","https://openalex.org/W2308297356","https://openalex.org/W2395435596","https://openalex.org/W2504389705","https://openalex.org/W2587735315","https://openalex.org/W2739784605","https://openalex.org/W2763886663","https://openalex.org/W2807754453","https://openalex.org/W2963094815","https://openalex.org/W4320800818","https://openalex.org/W6606624519","https://openalex.org/W6677446445","https://openalex.org/W6697521581","https://openalex.org/W6745460264"],"related_works":["https://openalex.org/W2358200898","https://openalex.org/W4231184955","https://openalex.org/W2325765407","https://openalex.org/W2788012436","https://openalex.org/W618293728","https://openalex.org/W2291845669","https://openalex.org/W3148196241","https://openalex.org/W1606169643","https://openalex.org/W1977912248","https://openalex.org/W3092773549"],"abstract_inverted_index":{"In":[0,63],"modern":[1],"science":[2],"and":[3,15,91,107,143],"engineering":[4],"practices,":[5],"regression":[6,71],"analysis":[7],"is":[8,28,47,83,89],"widely":[9],"used":[10],"to":[11,38,49,53,111],"deal":[12],"with":[13,75,94,146],"large-scale":[14],"sensitive":[16,61],"data,":[17],"such":[18,25],"as":[19],"personal":[20],"credit":[21],"information.":[22,62],"When":[23],"executing":[24],"tasks,":[26],"it":[27,46,145],"preferable":[29],"for":[30],"a":[31,35,68,76],"resource-constrained":[32],"client,":[33],"like":[34],"mobile":[36],"phone,":[37],"outsource":[39,50],"part":[40],"of":[41,60,78,134,140],"its":[42],"expensive":[43],"computation.":[44],"However,":[45],"challenging":[48],"the":[51,98,104,112,122,126,132,138],"computation":[52],"an":[54],"untrusted":[55],"cloud":[56],"server":[57],"without":[58],"leak":[59],"this":[64],"paper,":[65],"we":[66,102],"propose":[67],"fast":[69],"ridge":[70],"outsourcing":[72],"scheme":[73,82,142],"FaSORR":[74],"series":[77],"disguise":[79],"techniques.":[80],"Our":[81],"based":[84],"on":[85],"singular-value":[86],"decomposition(SVD),":[87],"which":[88],"non-iterative":[90],"highly":[92],"efficient":[93],"light":[95],"workload":[96],"at":[97,125],"client":[99,127],"side.":[100],"Moreover,":[101],"update":[103],"perturbation":[105],"method":[106],"offer":[108],"more":[109],"protection":[110],"original":[113],"data":[114],"than":[115],"previous":[116,147],"works.":[117,148],"Experiment":[118],"results":[119],"show":[120],"that":[121],"computing":[123],"load":[124],"side":[128],"decreases":[129],"dramatically":[130],"after":[131],"adoption":[133],"FaSORR.":[135],"We":[136],"analyze":[137],"performance":[139],"our":[141],"compare":[144]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
