{"id":"https://openalex.org/W3202724732","doi":"https://doi.org/10.1109/icassp43922.2022.9747066","title":"Applying Differential Privacy to Tensor Completion","display_name":"Applying Differential Privacy to Tensor Completion","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W3202724732","doi":"https://doi.org/10.1109/icassp43922.2022.9747066","mag":"3202724732"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747066","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100763402","display_name":"Wei Zheng","orcid":"https://orcid.org/0000-0002-5471-7328"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Wei","raw_affiliation_strings":["Fudan University,School of Data Science,China","School of Data Science, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Data Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Data Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058830436","display_name":"Zhengpin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengpin Li","raw_affiliation_strings":["Fudan University,School of Data Science,China","School of Data Science, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Data Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Data Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084376945","display_name":"Xiaojun Mao","orcid":"https://orcid.org/0000-0002-9362-508X"},"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":"Xiaojun Mao","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Mathematical Sciences,China","School of Mathematical Sciences, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Mathematical Sciences,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mathematical Sciences, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102727992","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0003-4318-7525"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Fudan University,School of Data Science,China","School of Data Science, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Data Science,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Data Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100763402"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.6838,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.4673913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"3923","last_page":"3927"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.925599992275238,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8802666664123535},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.7518780827522278},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7333462834358215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202998399734497},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5489625334739685},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4848436117172241},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4000203609466553},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33842700719833374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22824886441230774},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07024607062339783},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.05795750021934509}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8802666664123535},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.7518780827522278},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7333462834358215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202998399734497},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5489625334739685},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4848436117172241},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4000203609466553},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33842700719833374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22824886441230774},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07024607062339783},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.05795750021934509},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747066","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1814521481","https://openalex.org/W1873763122","https://openalex.org/W1963826206","https://openalex.org/W1966553486","https://openalex.org/W1968080575","https://openalex.org/W1981631259","https://openalex.org/W1982725637","https://openalex.org/W1991042426","https://openalex.org/W1992926795","https://openalex.org/W2000215628","https://openalex.org/W2009952684","https://openalex.org/W2013912476","https://openalex.org/W2020915469","https://openalex.org/W2022097286","https://openalex.org/W2024165284","https://openalex.org/W2027595342","https://openalex.org/W2038891887","https://openalex.org/W2044807855","https://openalex.org/W2091449379","https://openalex.org/W2106882672","https://openalex.org/W2109135024","https://openalex.org/W2112380340","https://openalex.org/W2119874464","https://openalex.org/W2121739212","https://openalex.org/W2128906841","https://openalex.org/W2131628350","https://openalex.org/W2135930857","https://openalex.org/W2138835141","https://openalex.org/W2146130798","https://openalex.org/W2151211319","https://openalex.org/W2165644552","https://openalex.org/W2219888463","https://openalex.org/W2258054274","https://openalex.org/W2296635479","https://openalex.org/W2396881363","https://openalex.org/W2473418344","https://openalex.org/W2508667469","https://openalex.org/W2605258322","https://openalex.org/W2762772695","https://openalex.org/W2798559676","https://openalex.org/W2891866930","https://openalex.org/W2953449233","https://openalex.org/W2962899434","https://openalex.org/W2963472624","https://openalex.org/W2963695762","https://openalex.org/W2963999993","https://openalex.org/W2964064173","https://openalex.org/W3003365835","https://openalex.org/W3105446653","https://openalex.org/W3131595479","https://openalex.org/W4238668657","https://openalex.org/W4248358572","https://openalex.org/W6639246211","https://openalex.org/W6682042988"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W3216281372","https://openalex.org/W2963838862","https://openalex.org/W2608089480","https://openalex.org/W3015641590","https://openalex.org/W2987657992","https://openalex.org/W4297666106"],"abstract_inverted_index":{"Tensor":[0],"completion":[1,92],"aims":[2],"at":[3],"filling":[4],"the":[5,18,50,76],"missing":[6],"or":[7],"unobserved":[8],"en-tries":[9],"based":[10],"on":[11,80],"partially":[12],"observed":[13,19],"tensors.":[14],"However,":[15],"utilization":[16],"of":[17],"tensors":[20],"often":[21],"raises":[22],"serious":[23],"privacy":[24,48,71,96],"concerns":[25],"in":[26],"many":[27],"practical":[28],"scenarios.":[29],"To":[30],"address":[31],"this":[32],"issue,":[33],"we":[34,67],"propose":[35],"a":[36,69],"solid":[37],"and":[38,60,73],"unified":[39],"framework":[40],"that":[41,84],"contains":[42],"several":[43],"approaches":[44],"for":[45,90],"applying":[46],"differential":[47],"to":[49],"two":[51],"most":[52],"widely":[53],"used":[54],"tensor":[55,91],"decomposition":[56],"methods:":[57],"i)":[58],"CANDECOMP/PARAFAC":[59],"ii)":[61],"Tucker":[62],"decompositions.":[63],"For":[64],"each":[65],"approach,":[66],"establish":[68],"rigorous":[70],"guarantee":[72],"meanwhile":[74],"evaluate":[75],"privacy-accuracy":[77],"trade-off.":[78],"Experiments":[79],"synthetic":[81],"datasets":[82],"demonstrate":[83],"our":[85],"proposal":[86],"achieves":[87],"high":[88],"accuracy":[89],"while":[93],"ensuring":[94],"strong":[95],"protections.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}