{"id":"https://openalex.org/W2967042130","doi":"https://doi.org/10.1109/tkde.2019.2934100","title":"ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data","display_name":"ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2967042130","doi":"https://doi.org/10.1109/tkde.2019.2934100","mag":"2967042130"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2934100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2934100","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5103086027","display_name":"Chaoyue Niu","orcid":"https://orcid.org/0000-0002-1650-4233"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaoyue Niu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050396482","display_name":"Zhenzhe Zheng","orcid":"https://orcid.org/0000-0003-3447-5349"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhe Zheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059190563","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0003-0965-9058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050393292","display_name":"Shaojie Tang","orcid":"https://orcid.org/0000-0001-9261-5210"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaojie Tang","raw_affiliation_strings":["Department of Information Systems, University of Texas at Dallas, Richardson, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019439900","display_name":"Xiaofeng Gao","orcid":"https://orcid.org/0000-0003-1776-8799"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Gao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428808","display_name":"Guihai Chen","orcid":"https://orcid.org/0000-0002-6934-1685"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103086027"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80284271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7533773183822632},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.6790475249290466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6738614439964294},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6394397020339966},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.5841006636619568},{"id":"https://openalex.org/keywords/arbitrage","display_name":"Arbitrage","score":0.53996342420578},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.47669360041618347},{"id":"https://openalex.org/keywords/aggregate-data","display_name":"Aggregate data","score":0.4236454665660858},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3907219171524048},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3547685444355011},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18756696581840515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1777993142604828},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14631640911102295},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.1343388855457306},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.10580781102180481},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08405613899230957}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7533773183822632},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.6790475249290466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6738614439964294},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6394397020339966},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.5841006636619568},{"id":"https://openalex.org/C160623529","wikidata":"https://www.wikidata.org/wiki/Q273088","display_name":"Arbitrage","level":2,"score":0.53996342420578},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47669360041618347},{"id":"https://openalex.org/C2778058735","wikidata":"https://www.wikidata.org/wiki/Q4692253","display_name":"Aggregate data","level":2,"score":0.4236454665660858},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3907219171524048},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3547685444355011},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18756696581840515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1777993142604828},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14631640911102295},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.1343388855457306},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.10580781102180481},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08405613899230957},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2934100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2934100","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4210069718","display_name":null,"funder_award_id":"61672353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1989291641","https://openalex.org/W1992697866","https://openalex.org/W2001347093","https://openalex.org/W2027595342","https://openalex.org/W2041713933","https://openalex.org/W2054922243","https://openalex.org/W2060041315","https://openalex.org/W2080217302","https://openalex.org/W2110953678","https://openalex.org/W2138517781","https://openalex.org/W2149921703","https://openalex.org/W2157497706","https://openalex.org/W2168402580","https://openalex.org/W2272515049","https://openalex.org/W2293940046","https://openalex.org/W2311311203","https://openalex.org/W2400908863","https://openalex.org/W2470236538","https://openalex.org/W2510174253","https://openalex.org/W2539944395","https://openalex.org/W2578791853","https://openalex.org/W2595058628","https://openalex.org/W2599930814","https://openalex.org/W2612128091","https://openalex.org/W2744808284","https://openalex.org/W2769835638","https://openalex.org/W2951926420","https://openalex.org/W2963826025","https://openalex.org/W3103549447","https://openalex.org/W3106047101","https://openalex.org/W4205228770","https://openalex.org/W6639246211","https://openalex.org/W6720268997"],"related_works":["https://openalex.org/W2398491113","https://openalex.org/W2184725937","https://openalex.org/W3159884765","https://openalex.org/W2201689782","https://openalex.org/W2149134677","https://openalex.org/W1965642303","https://openalex.org/W2142999981","https://openalex.org/W2189192386","https://openalex.org/W2058861541","https://openalex.org/W2141152476"],"abstract_inverted_index":{"With":[0],"the":[1,24,58],"commoditization":[2],"of":[3,26],"personal":[4],"privacy,":[5,124],"pricing":[6],"private":[7],"data":[8,28,31,55,63,130],"has":[9],"become":[10],"an":[11],"intriguing":[12],"problem.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"study":[18],"noisy":[19],"aggregate":[20,82],"statistics":[21,40],"trading":[22],"from":[23],"perspective":[25],"a":[27],"broker":[29],"in":[30],"markets.":[32],"We":[33,75],"thus":[34],"propose":[35],"ERATO,":[36],"which":[37],"enables":[38],"aggrEgate":[39],"pRicing":[41],"over":[42],"privATe":[43],"cOrrelated":[44],"data.":[45],"On":[46,57],"one":[47],"hand,":[48,60],"ERATO":[49,61,78,119],"guarantees":[50],"arbitrage":[51,126],"freeness":[52],"against":[53],"cunning":[54],"consumers.":[56],"other":[59],"compensates":[62,129],"owners":[64,131],"for":[65],"their":[66,96],"privacy":[67,136],"losses":[68],"using":[69],"both":[70],"bottom-up":[71],"and":[72,90,93,104,114,123,128],"top-down":[73],"designs.":[74],"further":[76],"apply":[77],"to":[79],"three":[80],"practical":[81],"statistics,":[83],"namely":[84],"weighted":[85],"sum,":[86],"probability":[87],"distribution":[88],"fitting,":[89],"degree":[91],"distribution,":[92],"extensively":[94],"evaluate":[95],"performances":[97],"on":[98],"MovieLens":[99],"dataset,":[100,103],"2009":[101],"RECS":[102],"two":[105],"SNAP":[106],"large":[107],"social":[108],"network":[109],"datasets,":[110],"respectively.":[111],"Our":[112],"analysis":[113],"evaluation":[115],"results":[116],"reveal":[117],"that":[118],"well":[120],"balances":[121],"utility":[122],"achieves":[125],"freeness,":[127],"more":[132],"fairly":[133],"than":[134],"differential":[135],"based":[137],"approaches.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
