{"id":"https://openalex.org/W4402870446","doi":"https://doi.org/10.1145/3697831","title":"Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys","display_name":"Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys","publication_year":2024,"publication_date":"2024-09-26","ids":{"openalex":"https://openalex.org/W4402870446","doi":"https://doi.org/10.1145/3697831"},"language":"en","primary_location":{"id":"doi:10.1145/3697831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3697831","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023558055","display_name":"Wei Dong","orcid":"https://orcid.org/0000-0002-0394-4125"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Wei Dong","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007370963","display_name":"Juanru Fang","orcid":"https://orcid.org/0000-0001-9038-0585"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Juanru Fang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009196125","display_name":"Ke Yi","orcid":"https://orcid.org/0000-0002-2178-3716"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Yi","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010901844","display_name":"Yuchao Tao","orcid":"https://orcid.org/0000-0002-2101-3973"},"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":"Yuchao Tao","raw_affiliation_strings":["Duke University, Durham, United States","Duke University,  Durham, United States"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, United States","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University,  Durham, United States","institution_ids":["https://openalex.org/I170897317"]}]},{"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":["Computer Science, Duke University, Durham, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science, Duke University, Durham, United States","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023558055"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.0245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80916355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"49","issue":"4","first_page":"1","last_page":"40"},"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":0.9998999834060669,"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":0.9926000237464905,"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":0.9090015888214111},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.5851793885231018},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5309343338012695},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4966793656349182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38780105113983154},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3800450563430786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9090015888214111},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.5851793885231018},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5309343338012695},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4966793656349182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38780105113983154},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3800450563430786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3697831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3697831","pdf_url":null,"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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-146599","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-146599","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W34969054","https://openalex.org/W1446333884","https://openalex.org/W1489843519","https://openalex.org/W1531368347","https://openalex.org/W1818923311","https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W1981932091","https://openalex.org/W1990503647","https://openalex.org/W1992926795","https://openalex.org/W2017509273","https://openalex.org/W2027595342","https://openalex.org/W2080900058","https://openalex.org/W2096803423","https://openalex.org/W2096870293","https://openalex.org/W2124612670","https://openalex.org/W2125678004","https://openalex.org/W2169861334","https://openalex.org/W2406036028","https://openalex.org/W2473418344","https://openalex.org/W2477765720","https://openalex.org/W2604272474","https://openalex.org/W2605062226","https://openalex.org/W2749179803","https://openalex.org/W2784621220","https://openalex.org/W2790634852","https://openalex.org/W2799067024","https://openalex.org/W2899805539","https://openalex.org/W2944525415","https://openalex.org/W2969261410","https://openalex.org/W2970408474","https://openalex.org/W3031432927","https://openalex.org/W3103407641","https://openalex.org/W4248861293","https://openalex.org/W4255574744","https://openalex.org/W4281756446","https://openalex.org/W4288287721","https://openalex.org/W4288358239","https://openalex.org/W4295521974","https://openalex.org/W4301461621","https://openalex.org/W4308381126","https://openalex.org/W4364386283","https://openalex.org/W4379135621","https://openalex.org/W4381328553","https://openalex.org/W4381329231","https://openalex.org/W4384948765","https://openalex.org/W4388233753","https://openalex.org/W4399175193","https://openalex.org/W6657138077","https://openalex.org/W6764782916","https://openalex.org/W6767236195"],"related_works":["https://openalex.org/W1974935850","https://openalex.org/W2074350688","https://openalex.org/W2042589464","https://openalex.org/W3158981924","https://openalex.org/W2078650164","https://openalex.org/W4252883813","https://openalex.org/W2089283247","https://openalex.org/W2346128247","https://openalex.org/W2158562798","https://openalex.org/W3047214821"],"abstract_inverted_index":{"Answering":[0],"SPJA":[1],"queries":[2],"under":[3,11,57],"differential":[4],"privacy":[5],"(DP),":[6],"including":[7],"graph":[8,54,249],"pattern":[9,55,250],"counting":[10,56],"node-DP":[12],"as":[13,140],"an":[14,226],"important":[15],"special":[16,51],"case,":[17],"has":[18],"received":[19],"considerable":[20],"attention":[21],"in":[22,192,204,237],"recent":[23],"years.":[24],"The":[25,99],"dual":[26],"challenge":[27],"of":[28,53,124,133,144,222,239],"foreign-key":[29],"constraints":[30],"combined":[31],"with":[32,92,113,154],"self-joins":[33],"is":[34,105,120,149,173],"particularly":[35],"tricky":[36],"to":[37,168,176],"deal":[38],"with,":[39],"and":[40,79,95,107,147,208,225],"no":[41],"existing":[42,60,242],"DP":[43,134],"mechanisms":[44,61,87],"can":[45,137,216],"correctly":[46],"handle":[47],"both.":[48],"For":[49],"the":[50,59,131,165],"case":[52],"node-DP,":[58],"are":[62,76,211],"correct":[63],"(i.e.,":[64],"satisfy":[65],"DP),":[66],"but":[67],"they":[68,215,233],"do":[69],"not":[70],"offer":[71,234],"nontrivial":[72],"utility":[73,97,240],"guarantees":[74],"or":[75,157],"very":[77],"complicated":[78],"costly.":[80],"In":[81],"this":[82,90,182],"article,":[83],"we":[84,127,180],"propose":[85],"two":[86],"for":[88,129,152,248],"solving":[89],"problem":[91],"both":[93],"efficiency":[94],"strong":[96],"guarantees.":[98],"first":[100],"mechanism,":[101],"called":[102],"R2T":[103,203,207],",":[104],"simple":[106,212],"efficient,":[108],"while":[109],"achieving":[110],"down-neighborhood":[111],"optimality":[112,116,119,125,166],"a":[114,121,141,155,169,198],"logarithmic":[115],"ratio.":[117],"Down-neighborhood":[118],"new":[122],"notion":[123],"that":[126,214,232],"introduce":[128],"measuring":[130],"utilities":[132],"mechanisms,":[135],"which":[136,172],"be":[138,177,217],"considered":[139],"natural":[142],"relaxation":[143],"instance":[145],"optimality,":[146],"it":[148,195],"especially":[150],"suitable":[151],"functions":[153],"large":[156],"unbounded":[158],"sensitivity.":[159],"Our":[160],"second":[161],"mechanism":[162,183],"further":[163],"reduces":[164],"ratio":[167],"double":[170],"logarithm,":[171],"also":[174,190],"known":[175],"optimal,":[178],"thus":[179],"call":[181],"OPT":[184,188,209],"2":[185,189,210],".":[186],"While":[187],"runs":[191],"polynomial":[193],"time,":[194],"does":[196],"have":[197],"higher":[199],"computational":[200],"cost":[201],"than":[202],"practice.":[205],"Both":[206],"enough":[213],"easily":[218],"implemented":[219],"on":[220],"top":[221],"any":[223],"RDBMS":[224],"LP":[227],"solver.":[228],"Experimental":[229],"results":[230],"show":[231],"order-of-magnitude":[235],"improvements":[236],"terms":[238],"over":[241],"techniques,":[243],"even":[244],"those":[245],"specifically":[246],"designed":[247],"counting.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}