{"id":"https://openalex.org/W1986293063","doi":"https://doi.org/10.1145/2746539.2746632","title":"Local, Private, Efficient Protocols for Succinct Histograms","display_name":"Local, Private, Efficient Protocols for Succinct Histograms","publication_year":2015,"publication_date":"2015-06-03","ids":{"openalex":"https://openalex.org/W1986293063","doi":"https://doi.org/10.1145/2746539.2746632","mag":"1986293063"},"language":"en","primary_location":{"id":"doi:10.1145/2746539.2746632","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2746539.2746632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-seventh annual ACM symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1504.04686","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Raef Bassily","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raef Bassily","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":null,"display_name":"Adam Smith","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Smith","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":12.908,"has_fulltext":false,"cited_by_count":298,"citation_normalized_percentile":{"value":0.98624685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"135"},"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":0.9994999766349792,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9944000244140625,"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/histogram","display_name":"Histogram","score":0.8129000067710876},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5892000198364258},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5873000025749207},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.4510999917984009},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.38339999318122864},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3587000072002411}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8129000067710876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039999961853027},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5892000198364258},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5873000025749207},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.4510999917984009},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3425999879837036},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.32749998569488525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32429999113082886},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.32420000433921814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29339998960494995},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2549000084400177},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2746539.2746632","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2746539.2746632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-seventh annual ACM symposium on Theory of Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1504.04686","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1504.04686","pdf_url":"https://arxiv.org/pdf/1504.04686","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1504.04686","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1504.04686","pdf_url":"https://arxiv.org/pdf/1504.04686","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2809453776","display_name":null,"funder_award_id":"0941553,1447700, 0747294","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W188453470","https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W1995897489","https://openalex.org/W2009611335","https://openalex.org/W2012365979","https://openalex.org/W2013003500","https://openalex.org/W2028584480","https://openalex.org/W2029905190","https://openalex.org/W2053801139","https://openalex.org/W2053817819","https://openalex.org/W2097272254","https://openalex.org/W2130099852","https://openalex.org/W2137303700","https://openalex.org/W2156313597"],"related_works":[],"abstract_inverted_index":{"We":[0,39],"give":[1],"efficient":[2],"protocols":[3,41],"and":[4],"matching":[5],"accuracy":[6],"lower":[7],"bounds":[8],"for":[9,16],"frequency":[10,76],"estimation":[11],"in":[12,62],"the":[13,49,58,63,75],"local":[14],"model":[15],"differential":[17],"privacy.":[18],"In":[19],"this":[20],"model,":[21],"individual":[22],"users":[23],"randomize":[24],"their":[25,73],"data":[26,64],"themselves,":[27],"sending":[28],"differentially":[29],"private":[30],"reports":[31],"to":[32],"an":[33],"untrusted":[34],"server":[35],"that":[36,42],"aggregates":[37],"them.":[38],"study":[40],"produce":[43],"a":[44,55],"succinct":[45,52],"histogram":[46,53],"representation":[47],"of":[48,57,72,77],"data.":[50],"A":[51],"is":[54,81],"list":[56],"most":[59],"frequent":[60],"items":[61,80],"(often":[65],"called":[66],"\"heavy":[67],"hitters\")":[68],"along":[69],"with":[70],"estimates":[71],"frequencies;":[74],"all":[78],"other":[79],"implicitly":[82],"estimated":[83],"as":[84],"0.":[85]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":49},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2016-06-24T00:00:00"}