{"id":"https://openalex.org/W4316652292","doi":"https://doi.org/10.1137/1.9781611977554.ch182","title":"Private Query Release via the Johnson-Lindenstrauss Transform","display_name":"Private Query Release via the Johnson-Lindenstrauss Transform","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4316652292","doi":"https://doi.org/10.1137/1.9781611977554.ch182"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611977554.ch182","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1137/1.9781611977554.ch182","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"},"type":"conference-paper","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/A5053901790","display_name":"Aleksandar Nikolov","orcid":null},"institutions":[{"id":"https://openalex.org/I122879082","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29","country_code":"CA","type":"government","lineage":["https://openalex.org/I122879082"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Aleksandar Nikolov","raw_affiliation_strings":["\u2217Department of Computer Science, University of Toronto, Canada. This research was partially supported by an NSERC Discovery Grant, and an Ontario Early Researcher Award"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u2217Department of Computer Science, University of Toronto, Canada. This research was partially supported by an NSERC Discovery Grant, and an Ontario Early Researcher Award","institution_ids":["https://openalex.org/I122879082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053901790"],"corresponding_institution_ids":["https://openalex.org/I122879082"],"apc_list":null,"apc_paid":null,"fwci":0.2178,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37435642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4982","last_page":"5002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8738628625869751},{"id":"https://openalex.org/keywords/lemma","display_name":"Lemma (botany)","score":0.5358162522315979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5191154479980469},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5057435035705566},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4590649902820587},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.42734864354133606},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.41166234016418457},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40362241864204407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.348815381526947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30830472707748413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18734991550445557},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1715080738067627}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8738628625869751},{"id":"https://openalex.org/C2777759810","wikidata":"https://www.wikidata.org/wiki/Q149316","display_name":"Lemma (botany)","level":3,"score":0.5358162522315979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5191154479980469},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5057435035705566},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4590649902820587},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.42734864354133606},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.41166234016418457},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40362241864204407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.348815381526947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30830472707748413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18734991550445557},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1715080738067627},{"id":"https://openalex.org/C46757340","wikidata":"https://www.wikidata.org/wiki/Q43238","display_name":"Poaceae","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/1.9781611977554.ch182","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1137/1.9781611977554.ch182","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913"],"abstract_inverted_index":{"We":[0,138],"introduce":[1],"a":[2,30,60,97,103,128,149],"new":[3],"method":[4],"for":[5,78,95,123,133,157],"releasing":[6],"answers":[7,28,45,67],"to":[8,23,29,49,69,143],"statistical":[9],"queries":[10,58,101],"with":[11,86,119],"differential":[12],"privacy,":[13],"based":[14],"on":[15,146],"the":[16,26,36,56,66,70,79,113,125,144,147],"Johnson-Lindenstrauss":[17],"lemma.":[18],"The":[19],"key":[20],"idea":[21],"is":[22,46,154],"randomly":[24],"project":[25],"query":[27,44,160],"lower":[31],"dimensional":[32],"space":[33],"so":[34],"that":[35],"distance":[37],"between":[38],"any":[39],"two":[40],"vectors":[41],"of":[42,99,105,127,151],"feasible":[43],"preserved":[47],"up":[48,68,142],"an":[50],"additive":[51],"error.":[52],"Then":[53],"we":[54,76,111],"answer":[55],"projected":[57],"using":[59],"simple":[61],"noise-adding":[62],"mechanism,":[63],"and":[64,132],"lift":[65],"original":[71],"dimension.":[72],"Using":[73],"this":[74],"method,":[75],"give,":[77],"first":[80,114],"time,":[81],"purely":[82,115],"differentially":[83],"private":[84,116],"mechanisms":[85,118],"optimal":[87,120,156],"worst":[88],"case":[89],"sample":[90,121],"complexity":[91,122],"under":[92],"average":[93],"error":[94],"answering":[96,134],"workload":[98],"k":[100],"over":[102],"universe":[104],"size":[106],"N.":[107],"As":[108],"other":[109],"applications,":[110],"give":[112],"efficient":[117],"computing":[124],"covariance":[126],"bounded":[129],"high-dimensional":[130],"distribution,":[131],"2-way":[135],"marginal":[136],"queries.":[137],"also":[139],"show":[140],"that,":[141],"dependence":[145],"error,":[148],"variant":[150],"our":[152],"mechanism":[153],"nearly":[155],"every":[158],"given":[159],"workload.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
