{"id":"https://openalex.org/W3043895261","doi":null,"title":"Controlling Privacy Loss in Survey Sampling (Working Paper).","display_name":"Controlling Privacy Loss in Survey Sampling (Working Paper).","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3043895261","mag":"3043895261"},"language":"en","primary_location":{"id":"mag:3043895261","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.12674.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.12674.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066860235","display_name":"Mark Bun","orcid":"https://orcid.org/0000-0002-5855-8045","observed_orcids":["https://orcid.org/0000-0002-5855-8045"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Bun","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5855-8045","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007511772","display_name":"J\u00f6rg Drechsler","orcid":"https://orcid.org/0009-0009-5790-3394","observed_orcids":["https://orcid.org/0009-0009-5790-3394"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00f6rg Drechsler","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0009-5790-3394","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021948795","display_name":"Marco Gaboardi","orcid":"https://orcid.org/0000-0002-5235-7066","observed_orcids":["https://orcid.org/0000-0002-5235-7066"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Gaboardi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5235-7066","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004893242","display_name":"Audra McMillan","orcid":"https://orcid.org/0000-0003-4231-6110","observed_orcids":["https://orcid.org/0000-0003-4231-6110"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Audra McMillan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4231-6110","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9984999895095825,"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":0.9984999895095825,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.8809999823570251},{"id":"https://openalex.org/keywords/survey-sampling","display_name":"survey sampling","score":0.9160000085830688},{"id":"https://openalex.org/keywords/privacy-loss","display_name":"privacy loss","score":0.7419999837875366},{"id":"https://openalex.org/keywords/cluster-sampling","display_name":"cluster sampling","score":0.8349999785423279},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"stratified sampling","score":1.0},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.3100000023841858}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8315792083740234},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.70673668384552},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.692227840423584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6903848052024841},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.6886849403381348},{"id":"https://openalex.org/C183380357","wikidata":"https://www.wikidata.org/wiki/Q1776598","display_name":"Cluster sampling","level":3,"score":0.6616857051849365},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5776160955429077},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4784146249294281},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4670760929584503},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.45360267162323},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.44403311610221863},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.4326454997062683},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.42575934529304504},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.35666415095329285},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3513656258583069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33484792709350586},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2010713517665863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12582290172576904},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07700058817863464},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.07408526539802551},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06948018074035645},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","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":"mag:3043895261","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.12674.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3043895261","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.12674.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W768808963","https://openalex.org/W1836034018","https://openalex.org/W2113792377","https://openalex.org/W2138865266","https://openalex.org/W2171200367","https://openalex.org/W2245160765","https://openalex.org/W2277091034","https://openalex.org/W2403151007","https://openalex.org/W2810715221","https://openalex.org/W2887654530","https://openalex.org/W2964237819","https://openalex.org/W2970493457","https://openalex.org/W2981917978"],"related_works":["https://openalex.org/W4381805227","https://openalex.org/W2529335636","https://openalex.org/W2742326713","https://openalex.org/W6893503121","https://openalex.org/W4415312687","https://openalex.org/W6926701135","https://openalex.org/W4402349133","https://openalex.org/W7120135430","https://openalex.org/W7212267421","https://openalex.org/W7130681895"],"abstract_inverted_index":{"Social":[0],"science":[1],"and":[2,16,112],"economics":[3],"research":[4],"is":[5,21,43],"often":[6,22,123],"based":[7],"on":[8,74,89],"data":[9,20,37,50],"collected":[10,23],"in":[11,60,132],"surveys.":[12],"Due":[13],"to":[14,29],"time":[15],"budgetary":[17],"constraints,":[18],"this":[19,94],"using":[24],"complex":[25],"sampling":[26,46,107,111],"schemes":[27,108,122],"designed":[28],"increase":[30],"accuracy":[31],"while":[32],"reducing":[33],"the":[34,45,49,61,90,98,101],"costs":[35],"of":[36,79,100,104],"collection.":[38],"A":[39],"commonly":[40],"held":[41],"belief":[42],"that":[44,117,128],"process":[47],"affords":[48],"subjects":[51],"some":[52],"additional":[53],"privacy.":[54],"This":[55],"intuition":[56],"has":[57],"been":[58],"formalized":[59],"differential":[62],"privacy":[63,84,102,133],"literature":[64],"for":[65],"simple":[66,76],"random":[67,77],"sampling:":[68],"a":[69,75,80],"differentially":[70],"private":[71],"mechanism":[72],"run":[73,88],"subsample":[78],"population":[81],"provides":[82],"higher":[83],"guarantees":[85],"than":[86],"when":[87],"entire":[91],"population.":[92],"In":[93],"work":[95],"we":[96],"initiate":[97],"study":[99],"implications":[103],"more":[105],"complicated":[106],"including":[109],"cluster":[110],"stratified":[113],"sampling.":[114],"We":[115],"find":[116],"not":[118,124],"only":[119],"do":[120],"these":[121],"amplify":[125],"privacy,":[126],"but":[127],"they":[129],"can":[130],"result":[131],"degradation.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-07-29T00:00:00"}
