{"id":"https://openalex.org/W3167780554","doi":"https://doi.org/10.1109/tifs.2021.3089884","title":"Differential Privacy for Tensor-Valued Queries","display_name":"Differential Privacy for Tensor-Valued Queries","publication_year":2021,"publication_date":"2021-06-16","ids":{"openalex":"https://openalex.org/W3167780554","doi":"https://doi.org/10.1109/tifs.2021.3089884","mag":"3167780554"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2021.3089884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2021.3089884","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":"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/A5020124916","display_name":"Jungang Yang","orcid":"https://orcid.org/0000-0001-5416-9547"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jungang Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018175815","display_name":"Liyao Xiang","orcid":"https://orcid.org/0000-0003-0165-4930"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyao Xiang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101893410","display_name":"Ruidong Chen","orcid":"https://orcid.org/0000-0002-1970-5743"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruidong Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078780912","display_name":"Weiting Li","orcid":"https://orcid.org/0000-0003-3788-1668"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiting Li","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083596391","display_name":"Baochun Li","orcid":"https://orcid.org/0000-0003-2404-0974"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Baochun Li","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020124916"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.5373,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85821032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"152","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9951000213623047,"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":0.992900013923645,"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/differential-privacy","display_name":"Differential privacy","score":0.8966948986053467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.742378830909729},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6879762411117554},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5723565816879272},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4798130989074707},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4564336836338043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.337260901927948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27519553899765015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1765078604221344},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15383592247962952},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11261048913002014}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8966948986053467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.742378830909729},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6879762411117554},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5723565816879272},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4798130989074707},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4564336836338043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.337260901927948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27519553899765015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1765078604221344},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15383592247962952},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11261048913002014}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2021.3089884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2021.3089884","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2011988218","display_name":null,"funder_award_id":"62020106005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2622878473","display_name":null,"funder_award_id":"61829201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2697090571","display_name":null,"funder_award_id":"61960206002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5597896998","display_name":null,"funder_award_id":"61822206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7794522323","display_name":null,"funder_award_id":"61902245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8718608543","display_name":null,"funder_award_id":"62032020","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":42,"referenced_works":["https://openalex.org/W1446333884","https://openalex.org/W1524581953","https://openalex.org/W1873763122","https://openalex.org/W1985511977","https://openalex.org/W1992926795","https://openalex.org/W2010523825","https://openalex.org/W2024165284","https://openalex.org/W2027595342","https://openalex.org/W2028584480","https://openalex.org/W2053637704","https://openalex.org/W2112796928","https://openalex.org/W2134251598","https://openalex.org/W2162379889","https://openalex.org/W2335728318","https://openalex.org/W2473418344","https://openalex.org/W2520442116","https://openalex.org/W2594311007","https://openalex.org/W2605258322","https://openalex.org/W2802251015","https://openalex.org/W2809414288","https://openalex.org/W2809607392","https://openalex.org/W2919337578","https://openalex.org/W2927692314","https://openalex.org/W2950943617","https://openalex.org/W2963062476","https://openalex.org/W2963126806","https://openalex.org/W2963699739","https://openalex.org/W2965057263","https://openalex.org/W3102360395","https://openalex.org/W3118608800","https://openalex.org/W3120740533","https://openalex.org/W4250589301","https://openalex.org/W4290960278","https://openalex.org/W6676984168","https://openalex.org/W6677855611","https://openalex.org/W6683520304","https://openalex.org/W6703116779","https://openalex.org/W6720598864","https://openalex.org/W6743732567","https://openalex.org/W6747732332","https://openalex.org/W6751920018","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W1990534671","https://openalex.org/W2364921833","https://openalex.org/W3159706164","https://openalex.org/W1525643724","https://openalex.org/W2067938758","https://openalex.org/W2382623646","https://openalex.org/W3087771547","https://openalex.org/W2333420780","https://openalex.org/W2375199418","https://openalex.org/W2368437561"],"abstract_inverted_index":{"Private":[0],"individual":[1],"information":[2,70],"are":[3,20],"increasingly":[4],"exposed":[5],"through":[6],"high-dimensional":[7],"and":[8,129,152],"high-order":[9],"data,":[10],"with":[11,104,125],"the":[12,53,56,61,67,110,115,119,130],"wide":[13],"deployment":[14],"of":[15,25,55,150],"learning":[16],"techniques.":[17],"These":[18],"data":[19,68],"typically":[21,43],"expressed":[22],"in":[23],"form":[24],"tensors,":[26],"but":[27],"there":[28],"is":[29,42,157],"no":[30],"principled":[31],"way":[32],"to":[33,45,138],"guarantee":[34],"privacy":[35,41,91],"for":[36,93],"tensor-valued":[37,94,164],"queries.":[38,95,165],"Conventional":[39],"differential":[40],"applied":[44],"scalar":[46],"values":[47],"without":[48],"a":[49,81,134,148],"precise":[50],"definition":[51],"on":[52,102,147,163],"shape":[54],"queried":[57],"data.":[58],"Realizing":[59],"that":[60,155],"conventional":[62],"mechanisms":[63,100,121,146,162],"do":[64],"not":[65],"take":[66],"structural":[69],"into":[71],"account,":[72],"we":[73,142],"propose":[74],"<italic":[75],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76,84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Tensor":[77],"Variate":[78],"Gaussian</i>":[79],"(TVG),":[80],"new":[82],"<inline-formula":[83],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[85],"<tex-math":[86],"notation=\"LaTeX\">$(\\epsilon,\\delta)":[87],"$":[88],"</tex-math></inline-formula>":[89],"-differential":[90],"mechanism":[92],"We":[96],"further":[97],"introduce":[98],"two":[99],"based":[101],"TVG":[103,156],"an":[105,126],"improved":[106],"utility":[107,116],"by":[108],"imposing":[109],"unimodal":[111],"differentially-private":[112],"noise.":[113],"With":[114],"space":[117],"available,":[118],"proposed":[120],"can":[122],"be":[123],"instantiated":[124],"optimized":[127],"utility,":[128],"optimization":[131],"problem":[132],"has":[133],"closed-form":[135],"solution":[136],"scalable":[137],"large-scale":[139],"problems.":[140],"Finally,":[141],"experimentally":[143],"test":[144],"our":[145],"variety":[149],"datasets":[151],"models,":[153],"demonstrating":[154],"superior":[158],"than":[159],"other":[160],"state-of-the-art":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
