{"id":"https://openalex.org/W3005418108","doi":"https://doi.org/10.1145/3362032","title":"\u03f5 KTELO","display_name":"\u03f5 KTELO","publication_year":2020,"publication_date":"2020-02-08","ids":{"openalex":"https://openalex.org/W3005418108","doi":"https://doi.org/10.1145/3362032","mag":"3005418108"},"language":"en","primary_location":{"id":"doi:10.1145/3362032","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3362032","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3362032","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3362032","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100456041","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0002-7295-4837"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051516514","display_name":"Ryan McKenna","orcid":"https://orcid.org/0000-0002-4950-1952"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan McKenna","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019737386","display_name":"Ios Kotsogiannis","orcid":null},"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":"Ios Kotsogiannis","raw_affiliation_strings":["Duke University, Durham, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024184063","display_name":"George Bissias","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Bissias","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]},{"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/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, Hamilton, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colgate University, Hamilton, NY","institution_ids":["https://openalex.org/I39660569"]}]},{"author_position":"middle","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, Durham, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036518572","display_name":"Gerome Miklau","orcid":"https://orcid.org/0000-0003-1369-9239"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerome Miklau","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1354,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56007935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"45","issue":"1","first_page":"1","last_page":"44"},"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":0.9944000244140625,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9251009225845337},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7255369424819946},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6073047518730164},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5999553799629211},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.4572048783302307},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4481644630432129},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43379664421081543},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.26327723264694214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20616015791893005},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18265476822853088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1400507092475891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9251009225845337},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7255369424819946},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6073047518730164},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5999553799629211},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.4572048783302307},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4481644630432129},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43379664421081543},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.26327723264694214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20616015791893005},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18265476822853088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1400507092475891},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3362032","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3362032","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3362032","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3362032","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3362032","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3362032","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1476861322","display_name":"TWC: Medium: Collaborative: Re[DP]: Realistic Data Mining Under Differential Privacy","funder_award_id":"1409143","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G160661199","display_name":null,"funder_award_id":"N66001-15- C-4067","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4407661758","display_name":"CIF21 DIBBs: An Integrated System for Public/Private Access to Large-Scale, Confidential Social Science Data","funder_award_id":"1443014","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G442690694","display_name":"NeTS: Small: Protecting Privacy While Providing Utility in Published Network Mobility Traces Using Differential Privacy","funder_award_id":"1421325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5920865383","display_name":"TWC: Medium: Collaborative: Re[DP]: Realistic Data Mining Under Differential Privacy","funder_award_id":"1409125","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7612358927","display_name":"TWC: Medium: Collaborative: Re[DP]: Realistic Data Mining Under Differential Privacy","funder_award_id":"1408982","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7941357836","display_name":"CAREER: PROTEUS: A Practical and Rigorous Toolkit for Privacy","funder_award_id":"1253327","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"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005418108.pdf","grobid_xml":"https://content.openalex.org/works/W3005418108.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W192814132","https://openalex.org/W1446333884","https://openalex.org/W1601184778","https://openalex.org/W1818923311","https://openalex.org/W1873763122","https://openalex.org/W1899217781","https://openalex.org/W1967597804","https://openalex.org/W1981029888","https://openalex.org/W1981932091","https://openalex.org/W1983886273","https://openalex.org/W2000359198","https://openalex.org/W2024021429","https://openalex.org/W2027193703","https://openalex.org/W2027595342","https://openalex.org/W2042946599","https://openalex.org/W2045072234","https://openalex.org/W2049269278","https://openalex.org/W2057576485","https://openalex.org/W2071511328","https://openalex.org/W2075291208","https://openalex.org/W2078394884","https://openalex.org/W2085988980","https://openalex.org/W2096450582","https://openalex.org/W2096803423","https://openalex.org/W2096870293","https://openalex.org/W2099259603","https://openalex.org/W2106882672","https://openalex.org/W2122290076","https://openalex.org/W2123733729","https://openalex.org/W2149545836","https://openalex.org/W2165157425","https://openalex.org/W2170204206","https://openalex.org/W2217200224","https://openalex.org/W2236011587","https://openalex.org/W2345464423","https://openalex.org/W2404133814","https://openalex.org/W2565203757","https://openalex.org/W2594974439","https://openalex.org/W2599449751","https://openalex.org/W2604255113","https://openalex.org/W2604536700","https://openalex.org/W2613872436","https://openalex.org/W2799269185","https://openalex.org/W2884174229","https://openalex.org/W3099979833","https://openalex.org/W3102407811","https://openalex.org/W3125964411","https://openalex.org/W3126102579","https://openalex.org/W4234726042","https://openalex.org/W4291720394","https://openalex.org/W6780692483"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2201908702","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W3206966921","https://openalex.org/W2610007503"],"abstract_inverted_index":{"The":[0],"adoption":[1],"of":[2,10,41,62,66,79,83,106,140,150,162,191,201,207,219],"differential":[3],"privacy":[4,36,78,128,185],"is":[5,17,86,116],"growing,":[6],"but":[7,172],"the":[8,39,77,81,102,107,146,163,184,189,211,215],"complexity":[9],"designing":[11,195],"private,":[12],"efficient,":[13],"and":[14,26,34,93,104,125,130,148,176,217],"accurate":[15,92],"algorithms":[16,52],"still":[18,173],"high.":[19],"We":[20,136,187,213],"propose":[21],"a":[22,63,138,224],"novel":[23,141],"programming":[24,71],"framework":[25,85],"system,":[27,110],"\u03f5":[28,108,114,151,192,220],"KTELO":[29,109,115,152,193,221],"for":[30,90,119],"implementing":[31],"both":[32,127],"existing":[33,51],"new":[35,197],"algorithms.":[37,135],"For":[38],"task":[40],"answering":[42],"linear":[43],"counting":[44],"queries,":[45],"we":[46,111],"show":[47,112],"that":[48,113,168,180],"nearly":[49],"all":[50],"can":[53],"be":[54],"composed":[55],"from":[56,183,204],"operators,":[57],"each":[58],"conforming":[59],"to":[60,75,132,144,157],"one":[61],"small":[64],"number":[65,139],"operator":[67],"classes.":[68],"While":[69],"past":[70],"frameworks":[72],"have":[73],"helped":[74],"ensure":[76],"programs,":[80],"novelty":[82],"our":[84],"its":[87],"significant":[88],"support":[89,145,174],"authoring":[91],"efficient":[94],"(as":[95],"well":[96],"as":[97],"private)":[98],"programs.":[99],"After":[100],"describing":[101],"design":[103,134],"architecture":[105],"expressive,":[117],"allows":[118,126],"safer":[120],"implementations":[121,179],"through":[122],"code":[123],"reuse,":[124],"novices":[129],"experts":[131],"easily":[133],"provide":[137],"implementation":[142],"techniques":[143,182],"generality":[147],"scalability":[149,218],"operators.":[153],"These":[154],"include":[155],"methods":[156],"automatically":[158],"compute":[159],"lossless":[160],"reductions":[161],"data":[164],"representation,":[165],"implicit":[166],"matrices":[167],"avoid":[169],"materialized":[170],"state":[171],"computations,":[175],"iterative":[177],"inference":[178],"generalize":[181],"literature.":[186],"demonstrate":[188],"utility":[190],"by":[194],"several":[196],"state-of-the-art":[198],"algorithms,":[199],"most":[200],"which":[202],"result":[203],"simple":[205],"re-combinations":[206],"operators":[208],"defined":[209],"in":[210,223],"framework.":[212],"study":[214],"accuracy":[216],"plans":[222],"thorough":[225],"empirical":[226],"evaluation.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}