{"id":"https://openalex.org/W2952871158","doi":"https://doi.org/10.1145/3294052.3322188","title":"Differential Privacy and the US Census","display_name":"Differential Privacy and the US Census","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2952871158","doi":"https://doi.org/10.1145/3294052.3322188","mag":"2952871158"},"language":"en","primary_location":{"id":"doi:10.1145/3294052.3322188","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3294052.3322188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5011820318","display_name":"Cynthia Dwork","orcid":"https://orcid.org/0000-0001-7177-3738"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cynthia Dwork","raw_affiliation_strings":["Harvard University, Cambridg, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridg, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011820318"],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9183626174926758},{"id":"https://openalex.org/keywords/census","display_name":"Census","score":0.7202140092849731},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7148557305335999},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6836907267570496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6442248821258545},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.6335838437080383},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4677850008010864},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45013323426246643},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.4268264174461365},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.4113515019416809},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4054604768753052},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3777273893356323},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32231995463371277},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24705150723457336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15260374546051025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0901450514793396},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08456873893737793},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.07700985670089722}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9183626174926758},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.7202140092849731},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7148557305335999},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6836907267570496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442248821258545},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.6335838437080383},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4677850008010864},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45013323426246643},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.4268264174461365},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.4113515019416809},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4054604768753052},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3777273893356323},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32231995463371277},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24705150723457336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15260374546051025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0901450514793396},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08456873893737793},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.07700985670089722},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3294052.3322188","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3294052.3322188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4304208041","https://openalex.org/W4309618081","https://openalex.org/W3176515490","https://openalex.org/W4226426276","https://openalex.org/W3185918024","https://openalex.org/W2773408865","https://openalex.org/W2083287929","https://openalex.org/W3138333794","https://openalex.org/W4234819362","https://openalex.org/W3210973760"],"abstract_inverted_index":{"Differential":[0],"privacy":[1,8,70,103,113],"is":[2],"a":[3,102,144],"mathematically":[4],"rigorous":[5],"definition":[6,129],"of":[7,13,88,119,130,138],"tailored":[9],"to":[10,23,40,110],"statistical":[11],"analysis":[12],"large":[14],"datasets.":[15],"Differentially":[16,45],"private":[17,46,61],"systems":[18,47,62],"simultaneously":[19],"provide":[20],"useful":[21],"statistics":[22],"the":[24,43,51,57,68,78,86,93,106,115,120,128,135,139,149],"well-intentioned":[25],"data":[26,90],"analyst":[27],"and":[28,66,92,142],"strong":[29],"protection":[30],"against":[31],"arbitrarily":[32],"powerful":[33],"adversarial":[34],"system":[35],"users":[36],"--":[37],"without":[38],"needing":[39],"distinguish":[41],"between":[42],"two.":[44],"\"don't":[48],"care''":[49],"what":[50],"adversary":[52],"knows,":[53],"now":[54],"or":[55],"in":[56,148],"future.":[58],"Finally,":[59],"differentially":[60],"can":[63,98],"rigorously":[64],"bound":[65],"control":[67],"cumulative":[69],"loss":[71],"that":[72],"accrues":[73],"over":[74],"many":[75],"interactions":[76],"with":[77,85,95],"confidential":[79],"data.":[80],"These":[81],"unique":[82],"properties,":[83],"together":[84],"abundance":[87],"auxiliary":[89],"sources":[91],"ease":[94],"which":[96],"they":[97],"be":[99],"deployed":[100],"by":[101],"adversary,":[104],"led":[105],"US":[107],"Census":[108],"Bureau":[109],"adopt":[111],"differential":[112,131],"as":[114],"disclosure":[116],"avoidance":[117],"methodology":[118],"2020":[121],"decennial":[122,140],"census.":[123],"This":[124],"talk":[125],"will":[126],"motivate":[127],"privacy,":[132],"reflect":[133],"on":[134],"theory-meets-practice":[136],"experiences":[137],"census,":[141],"highlight":[143],"few":[145],"pressing":[146],"challenges":[147],"field.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
