{"id":"https://openalex.org/W4379135621","doi":"https://doi.org/10.1145/3584372.3588669","title":"Universal Private Estimators","display_name":"Universal Private Estimators","publication_year":2023,"publication_date":"2023-06-02","ids":{"openalex":"https://openalex.org/W4379135621","doi":"https://doi.org/10.1145/3584372.3588669"},"language":"en","primary_location":{"id":"doi:10.1145/3584372.3588669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584372.3588669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","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/A5023558055","display_name":"Wei Dong","orcid":"https://orcid.org/0000-0002-0394-4125"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wei Dong","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009196125","display_name":"Ke Yi","orcid":"https://orcid.org/0000-0002-2178-3716"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Yi","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023558055"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":2.2494,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90180196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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":0.9907000064849854,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.953000009059906,"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/estimator","display_name":"Estimator","score":0.9022005796432495},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.8404268026351929},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6911605596542358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6019415855407715},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5955809950828552},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5267887711524963},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4878242313861847},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4740992486476898},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.44180166721343994},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.42751529812812805},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4184836149215698},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.353029727935791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33450475335121155},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32696259021759033},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1358206868171692}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.9022005796432495},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8404268026351929},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6911605596542358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6019415855407715},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5955809950828552},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5267887711524963},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4878242313861847},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4740992486476898},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.44180166721343994},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.42751529812812805},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4184836149215698},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.353029727935791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33450475335121155},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32696259021759033},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1358206868171692},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3584372.3588669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584372.3588669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-128550","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-128550","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1524581953","https://openalex.org/W1818923311","https://openalex.org/W1997690112","https://openalex.org/W2031415694","https://openalex.org/W2053801139","https://openalex.org/W2070712658","https://openalex.org/W2096870293","https://openalex.org/W2101771965","https://openalex.org/W2124612670","https://openalex.org/W2138865266","https://openalex.org/W2141902405","https://openalex.org/W2144190046","https://openalex.org/W2171200367","https://openalex.org/W2260333220","https://openalex.org/W2604969030","https://openalex.org/W2809008139","https://openalex.org/W2900759811","https://openalex.org/W2944525415","https://openalex.org/W2950330052","https://openalex.org/W2963881987","https://openalex.org/W2970408474","https://openalex.org/W3015632420","https://openalex.org/W3097492784","https://openalex.org/W3102341936","https://openalex.org/W3105622409","https://openalex.org/W3151354540","https://openalex.org/W3160706494","https://openalex.org/W3177291923","https://openalex.org/W3211357969","https://openalex.org/W3216112659","https://openalex.org/W4212774754","https://openalex.org/W4248861293","https://openalex.org/W4281756446","https://openalex.org/W4288358239","https://openalex.org/W4302338090","https://openalex.org/W6638847059","https://openalex.org/W6756310014"],"related_works":["https://openalex.org/W1488761988","https://openalex.org/W3038283795","https://openalex.org/W2044551864","https://openalex.org/W1572557500","https://openalex.org/W3124946120","https://openalex.org/W4390690393","https://openalex.org/W2604501336","https://openalex.org/W2558166297","https://openalex.org/W2047938026","https://openalex.org/W2734500670"],"abstract_inverted_index":{"We":[0],"present":[1],"universal":[2,23,61],"estimators":[3,21,62,114],"for":[4,45,73,115],"the":[5,13,25,74,84,92,116,121],"statistical":[6],"mean,":[7],"variance,":[8],"and":[9,77,86,118],"scale":[10],"(in":[11],"particular,":[12],"interquartile":[14],"range)":[15],"under":[16,78,100],"pure":[17,101],"differential":[18,102],"privacy.":[19,103],"These":[20],"are":[22,69,98,111],"in":[24,108],"sense":[26],"that":[27,59],"they":[28],"work":[29],"on":[30,83],"an":[31],"arbitrary,":[32],"unknown":[33],"continuous":[34],"distribution":[35,50],"P":[36],"over":[37,120],"R,":[38],"while":[39],"yielding":[40],"strong":[41],"utility":[42],"guarantees":[43],"except":[44],"ill-behaved":[46],"P.":[47,89],"For":[48],"certain":[49],"families":[51],"like":[52],"Gaussians":[53],"or":[54,64],"heavy-tailed":[55],"distributions,":[56],"we":[57],"show":[58],"our":[60,109],"match":[63],"improve":[65],"existing":[66],"estimators,":[67],"which":[68,125],"often":[70],"specifically":[71],"designed":[72],"given":[75],"family":[76],"a":[79],"priori":[80],"boundedness":[81,96],"assumptions":[82,97],"mean":[85,117],"variance":[87],"of":[88,128],"This":[90],"is":[91],"first":[93],"time":[94],"these":[95],"removed":[99],"The":[104],"main":[105],"technical":[106],"tools":[107],"development":[110],"instance-optimal":[112],"empirical":[113],"quantiles":[119],"unbounded":[122],"integer":[123],"domain,":[124],"can":[126],"be":[127],"independent":[129],"interest.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}