{"id":"https://openalex.org/W4281385302","doi":"https://doi.org/10.1145/3488932.3522771","title":"Differentially Private Data Synthesis: State of the Art and Challenges","display_name":"Differentially Private Data Synthesis: State of the Art and Challenges","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4281385302","doi":"https://doi.org/10.1145/3488932.3522771"},"language":"en","primary_location":{"id":"doi:10.1145/3488932.3522771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488932.3522771","pdf_url":null,"source":{"id":"https://openalex.org/S4363609011","display_name":"Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101471208","display_name":"Ninghui Li","orcid":"https://orcid.org/0000-0001-8207-9717"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ninghui Li","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101471208"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37842747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"815"},"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":0.9998000264167786,"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":0.9883999824523926,"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/state","display_name":"State (computer science)","score":0.5459084510803223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46640458703041077},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16560772061347961}],"concepts":[{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5459084510803223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46640458703041077},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16560772061347961}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488932.3522771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488932.3522771","pdf_url":null,"source":{"id":"https://openalex.org/S4363609011","display_name":"Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3994529929","display_name":"SaTC: CORE: Medium: Collaborative: User-Centered Deployment of Differential Privacy","funder_award_id":"1931443","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W2029420412","https://openalex.org/W2884738118","https://openalex.org/W2911978475","https://openalex.org/W2913658733","https://openalex.org/W3197295672","https://openalex.org/W6787376386"],"related_works":["https://openalex.org/W12858792","https://openalex.org/W8870360","https://openalex.org/W1281918","https://openalex.org/W10284236","https://openalex.org/W10903394","https://openalex.org/W1859078","https://openalex.org/W6874297","https://openalex.org/W9539741","https://openalex.org/W8058537","https://openalex.org/W6548054"],"abstract_inverted_index":{"Differential":[0],"privacy":[1,19,32,96],"has":[2],"been":[3],"accepted":[4],"as":[5,79],"the":[6,26,34,55,86,118],"de":[7],"facto":[8],"notion":[9],"for":[10,20,74],"protecting":[11],"privacy.":[12,64],"Companies":[13],"and":[14,106],"government":[15],"agencies":[16],"use":[17,41],"differential":[18,31,63],"privacy-preserving":[21],"data":[22,67,76,81,114,123],"analysis.":[23,77],"For":[24],"example,":[25],"US":[27,101],"census":[28],"bureau":[29],"applied":[30],"in":[33,58],"2020":[35],"census.":[36],"One":[37],"important":[38],"approach":[39],"to":[40,46,54,69],"a":[42,48,59],"private":[43,56,113],"dataset":[44,50,57,88],"is":[45,52],"generate":[47],"synthetic":[49],"that":[51,61],"similar":[53],"way":[60],"satisfies":[62],"This":[65],"enables":[66],"analysts":[68],"directly":[70],"apply":[71],"existing":[72],"algorithms":[73],"performing":[75],"Furthermore,":[78],"additional":[80,95],"analysis":[82],"tasks":[83],"performed":[84],"on":[85,111],"published":[87],"are":[89],"post-processing,":[90],"they":[91],"do":[92],"not":[93],"incur":[94],"cost.":[97],"In":[98],"recent":[99],"years,":[100],"National":[102],"Institutes":[103],"of":[104,120],"Standards":[105],"Technology":[107],"ran":[108],"two":[109],"competitions":[110],"differentially":[112],"synthesis,":[115],"which":[116],"drove":[117],"development":[119],"practically":[121],"effective":[122],"synthesis":[124],"algorithms.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
