{"id":"https://openalex.org/W2884174229","doi":"https://doi.org/10.14778/3231751.3231769","title":"Optimizing error of high-dimensional statistical queries under differential privacy","display_name":"Optimizing error of high-dimensional statistical queries under differential privacy","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2884174229","doi":"https://doi.org/10.14778/3231751.3231769","mag":"2884174229"},"language":"en","primary_location":{"id":"doi:10.14778/3231751.3231769","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3231751.3231769","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1808.03537","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051516514","display_name":"Ryan McKenna","orcid":"https://orcid.org/0000-0002-4950-1952"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryan McKenna","raw_affiliation_strings":["Univ. of Massachusetts"],"affiliations":[{"raw_affiliation_string":"Univ. of Massachusetts","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036518572","display_name":"Gerome Miklau","orcid":"https://orcid.org/0000-0003-1369-9239"},"institutions":[{"id":"https://openalex.org/I1333512998","display_name":"United States Census Bureau","ror":"https://ror.org/01qn7cs15","country_code":"US","type":"funder","lineage":["https://openalex.org/I1333512998","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerome Miklau","raw_affiliation_strings":["Univ. of Massachusetts and U.S. Census Bureau"],"affiliations":[{"raw_affiliation_string":"Univ. of Massachusetts and U.S. Census Bureau","institution_ids":["https://openalex.org/I1333512998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020275137","display_name":"Michael Hay","orcid":"https://orcid.org/0000-0001-9085-893X"},"institutions":[{"id":"https://openalex.org/I1333512998","display_name":"United States Census Bureau","ror":"https://ror.org/01qn7cs15","country_code":"US","type":"funder","lineage":["https://openalex.org/I1333512998","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I39660569","display_name":"Colgate University","ror":"https://ror.org/05d23ve83","country_code":"US","type":"education","lineage":["https://openalex.org/I39660569"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Hay","raw_affiliation_strings":["Colgate University and U.S. Census Bureau"],"affiliations":[{"raw_affiliation_string":"Colgate University and U.S. Census Bureau","institution_ids":["https://openalex.org/I1333512998","https://openalex.org/I39660569"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018314576","display_name":"Ashwin Machanavajjhala","orcid":"https://orcid.org/0000-0003-1555-7330"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashwin Machanavajjhala","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051516514"],"corresponding_institution_ids":["https://openalex.org/I33434090"],"apc_list":null,"apc_paid":null,"fwci":8.6304,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.9810126,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"10","first_page":"1206","last_page":"1219"},"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":0.9970999956130981,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9925000071525574,"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/computer-science","display_name":"Computer science","score":0.8098399639129639},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.805662989616394},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8017972111701965},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.614816427230835},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5287004709243774},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5009140968322754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.459963858127594},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43702417612075806},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4328887462615967},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4294917583465576},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39579012989997864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16677236557006836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098399639129639},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.805662989616394},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8017972111701965},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.614816427230835},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5287004709243774},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5009140968322754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.459963858127594},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43702417612075806},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4328887462615967},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4294917583465576},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39579012989997864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16677236557006836},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/3231751.3231769","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3231751.3231769","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1808.03537","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.03537","pdf_url":"https://arxiv.org/pdf/1808.03537","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"},{"id":"pmh:oai:doaj.org/article:61b108bc032149d197ddee8e2f5d41c4","is_oa":true,"landing_page_url":"https://doaj.org/article/61b108bc032149d197ddee8e2f5d41c4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The Journal of Privacy and Confidentiality, Vol 13, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1808.03537","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.03537","pdf_url":"https://arxiv.org/pdf/1808.03537","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":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W112435724","https://openalex.org/W1446333884","https://openalex.org/W1586209290","https://openalex.org/W1601184778","https://openalex.org/W1873763122","https://openalex.org/W1952148407","https://openalex.org/W1981932091","https://openalex.org/W1983886273","https://openalex.org/W1990503647","https://openalex.org/W2000359198","https://openalex.org/W2022542865","https://openalex.org/W2024021429","https://openalex.org/W2027595342","https://openalex.org/W2031253505","https://openalex.org/W2033092546","https://openalex.org/W2045072234","https://openalex.org/W2049599124","https://openalex.org/W2057576485","https://openalex.org/W2064868049","https://openalex.org/W2071511328","https://openalex.org/W2073389244","https://openalex.org/W2078212354","https://openalex.org/W2096803423","https://openalex.org/W2096870293","https://openalex.org/W2097583584","https://openalex.org/W2099259603","https://openalex.org/W2122290076","https://openalex.org/W2123733729","https://openalex.org/W2123779242","https://openalex.org/W2129406098","https://openalex.org/W2132768130","https://openalex.org/W2138791376","https://openalex.org/W2139182243","https://openalex.org/W2141902405","https://openalex.org/W2149545836","https://openalex.org/W2151242030","https://openalex.org/W2153751777","https://openalex.org/W2165157425","https://openalex.org/W2167987512","https://openalex.org/W2217200224","https://openalex.org/W2236011587","https://openalex.org/W2272200996","https://openalex.org/W2397859184","https://openalex.org/W2404133814","https://openalex.org/W2468586881","https://openalex.org/W2595142274","https://openalex.org/W2599449751","https://openalex.org/W2950343740","https://openalex.org/W2951211329","https://openalex.org/W2951678136","https://openalex.org/W2952682863","https://openalex.org/W3120740533","https://openalex.org/W3211732789","https://openalex.org/W4205228770","https://openalex.org/W4234726042","https://openalex.org/W4248861293","https://openalex.org/W4255574744"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Differentially":[0],"private":[1,74,115],"algorithms":[2,116],"for":[3,76,88,117],"answering":[4,77],"sets":[5],"of":[6,46,62,80,113,146],"predicate":[7,81],"counting":[8,82],"queries":[9,136],"on":[10,42,143],"a":[11,43,71,78,144],"sensitive":[12],"database":[13],"have":[14],"many":[15],"applications.":[16],"Organizations":[17],"that":[18,84,119,131],"collect":[19],"individual-level":[20],"data,":[21],"such":[22],"as":[23],"statistical":[24],"agencies":[25],"and":[26,100,148],"medical":[27],"institutions,":[28],"use":[29],"them":[30],"to":[31,105],"safely":[32],"release":[33],"summary":[34],"tabulations.":[35],"However,":[36],"existing":[37],"techniques":[38,142],"are":[39,50],"accurate":[40],"only":[41],"narrow":[44],"class":[45],"query":[47,93,123],"workloads,":[48],"or":[49,59],"extremely":[51],"slow,":[52],"especially":[53,86],"when":[54],"analyzing":[55],"more":[56],"than":[57,140],"one":[58,118],"two":[60],"dimensions":[61],"the":[63,111,121],"data.":[64],"In":[65],"this":[66,102],"work":[67],"we":[68],"propose":[69],"HDMM,":[70],"new":[72],"differentially":[73,114],"algorithm":[75],"workload":[79,124],"queries,":[83],"is":[85],"effective":[87],"higher-dimensional":[89],"datasets.":[90,151],"HDMM":[91,132],"represents":[92],"workloads":[94],"using":[95],"an":[96],"implicit":[97],"matrix":[98],"representation":[99,104],"exploits":[101],"compact":[103],"efficiently":[106,134],"search":[107],"(a":[108],"subset":[109],"of)":[110],"space":[112],"answers":[120],"input":[122],"with":[125,137],"high":[126,149],"accuracy.":[127],"We":[128],"empirically":[129],"show":[130],"can":[133],"answer":[135],"lower":[138],"error":[139],"state-of-the-art":[141],"variety":[145],"low":[147],"dimensional":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}