{"id":"https://openalex.org/W4379113115","doi":"https://doi.org/10.1145/3584372.3588665","title":"Differentially Private Data Release over Multiple Tables","display_name":"Differentially Private Data Release over Multiple Tables","publication_year":2023,"publication_date":"2023-06-02","ids":{"openalex":"https://openalex.org/W4379113115","doi":"https://doi.org/10.1145/3584372.3588665"},"language":"en","primary_location":{"id":"doi:10.1145/3584372.3588665","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584372.3588665","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584372.3588665","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3584372.3588665","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102807325","display_name":"Badih Ghazi","orcid":"https://orcid.org/0009-0004-1555-5321"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Badih Ghazi","raw_affiliation_strings":["Google Research, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034417920","display_name":"Xiao Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101772779","display_name":"Ravi Kumar","orcid":"https://orcid.org/0000-0002-2203-2586"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Kumar","raw_affiliation_strings":["Google Research, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001520779","display_name":"Pasin Manurangsi","orcid":"https://orcid.org/0000-0002-1052-2801"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pasin Manurangsi","raw_affiliation_strings":["Google Research, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102807325"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.3479,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64032554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"207","last_page":"219"},"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":0.9997000098228455,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/joins","display_name":"Joins","score":0.8411230444908142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7687307596206665},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.6097758412361145},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6094492673873901},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5639790892601013},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5437525510787964},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5326200723648071},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5224960446357727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48052582144737244},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4719105362892151},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4370401203632355},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39732739329338074},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3399472236633301},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2837868332862854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1674715280532837}],"concepts":[{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.8411230444908142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7687307596206665},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.6097758412361145},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6094492673873901},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5639790892601013},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5437525510787964},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5326200723648071},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5224960446357727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48052582144737244},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4719105362892151},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4370401203632355},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39732739329338074},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3399472236633301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2837868332862854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1674715280532837},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584372.3588665","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584372.3588665","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584372.3588665","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3584372.3588665","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584372.3588665","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584372.3588665","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.550000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379113115.pdf","grobid_xml":"https://content.openalex.org/works/W4379113115.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1873763122","https://openalex.org/W1989783863","https://openalex.org/W2009611335","https://openalex.org/W2012992615","https://openalex.org/W2017509273","https://openalex.org/W2045072234","https://openalex.org/W2049599124","https://openalex.org/W2054922243","https://openalex.org/W2078686663","https://openalex.org/W2080900058","https://openalex.org/W2096870293","https://openalex.org/W2101771965","https://openalex.org/W2122290076","https://openalex.org/W2123820077","https://openalex.org/W2141902405","https://openalex.org/W2146492010","https://openalex.org/W2167987512","https://openalex.org/W2171200367","https://openalex.org/W2284810639","https://openalex.org/W2293299776","https://openalex.org/W2295521788","https://openalex.org/W2342483111","https://openalex.org/W2502658919","https://openalex.org/W2592257482","https://openalex.org/W2604969030","https://openalex.org/W2749179803","https://openalex.org/W2754879912","https://openalex.org/W2898996243","https://openalex.org/W3156611052","https://openalex.org/W3160706494","https://openalex.org/W3177291923","https://openalex.org/W4234726042","https://openalex.org/W4248861293","https://openalex.org/W4281756446","https://openalex.org/W4293783543"],"related_works":["https://openalex.org/W2488852078","https://openalex.org/W2393491644","https://openalex.org/W4206577045","https://openalex.org/W650102067","https://openalex.org/W3086237447","https://openalex.org/W2740404111","https://openalex.org/W1550806730","https://openalex.org/W1496672428","https://openalex.org/W2589740103","https://openalex.org/W1966967794"],"abstract_inverted_index":{"We":[0,99],"study":[1],"synthetic":[2,34],"data":[3,85,148],"release":[4,32,48],"for":[5,36,51,103],"answering":[6,37,74],"multiple":[7,38],"linear":[8,39],"queries":[9,40,127],"over":[10,41,58],"a":[11,17,33,42,52,59,109,147],"set":[12,60],"of":[13,61,142,155],"database":[14,62],"tables":[15],"in":[16,27,132],"differentially":[18],"private":[19],"way.":[20],"Two":[21],"special":[22],"cases":[23],"have":[24],"been":[25],"considered":[26],"the":[28,49,66,69,77,89,104,133,140,153,161],"literature:":[29],"how":[30,46,81],"to":[31,47,65,121,158],"dataset":[35],"single":[43,53],"table,":[44],"and":[45,107],"answer":[50],"counting":[54],"(join":[55],"size)":[56],"query":[57,73],"tables.":[63],"Compared":[64],"single-table":[67],"case,":[68],"join":[70,97,130],"operator":[71],"makes":[72],"challenging,":[75],"since":[76],"sensitivity":[78],"(i.e.,":[79],"by":[80,95],"much":[82],"an":[83,101],"individual":[84],"record":[86],"can":[87],"affect":[88],"answer)":[90],"could":[91],"be":[92],"heavily":[93],"amplified":[94],"complex":[96],"relationships.":[98],"present":[100,146],"algorithm":[102,116],"general":[105,115],"problem,":[106],"prove":[108],"lower":[110],"bound":[111],"illustrating":[112],"that":[113,151],"our":[114],"achieves":[117],"parameterized":[118],"optimality":[119],"(up":[120],"logarithmic":[122],"factors)":[123],"on":[124],"some":[125],"simple":[126],"(e.g.,":[128],"two-table":[129],"queries)":[131],"most":[134],"commonly-used":[135],"privacy":[136],"parameter":[137],"regimes.":[138],"For":[139],"case":[141],"hierarchical":[143],"joins,":[144],"we":[145],"partition":[149],"procedure":[150],"exploits":[152],"concept":[154],"uniformized":[156],"sensitivities":[157],"further":[159],"improve":[160],"utility.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}