{"id":"https://openalex.org/W3130135460","doi":"https://doi.org/10.1145/3445970.3451156","title":"PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting","display_name":"PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting","publication_year":2021,"publication_date":"2021-04-10","ids":{"openalex":"https://openalex.org/W3130135460","doi":"https://doi.org/10.1145/3445970.3451156","mag":"3130135460"},"language":"en","primary_location":{"id":"doi:10.1145/3445970.3451156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445970.3451156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.09751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010522490","display_name":"Ismat Jarin","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ismat Jarin","raw_affiliation_strings":["University of Michigan-Dearborn, Dearborn, MI, USA","\u2020University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079219412","display_name":"Birhanu Eshete","orcid":"https://orcid.org/0000-0002-2549-4030"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Birhanu Eshete","raw_affiliation_strings":["University of Michigan-Dearborn, Dearborn, MI, USA","\u2020University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010522490"],"corresponding_institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210130704"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5183433,"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":"25","last_page":"35"},"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":0.9934999942779541,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9905999898910522,"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":0.832770049571991},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7145788073539734},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7113216519355774},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6729289293289185},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6269645690917969},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"Secure multi-party computation","score":0.5331774353981018},{"id":"https://openalex.org/keywords/secret-sharing","display_name":"Secret sharing","score":0.49030473828315735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4689601957798004},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.45444828271865845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4512476325035095},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.405015230178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37774956226348877},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.16900664567947388},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09965437650680542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.832770049571991},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7145788073539734},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7113216519355774},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6729289293289185},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6269645690917969},{"id":"https://openalex.org/C18396474","wikidata":"https://www.wikidata.org/wiki/Q2465888","display_name":"Secure multi-party computation","level":3,"score":0.5331774353981018},{"id":"https://openalex.org/C3087436","wikidata":"https://www.wikidata.org/wiki/Q1386603","display_name":"Secret sharing","level":3,"score":0.49030473828315735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4689601957798004},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.45444828271865845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4512476325035095},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.405015230178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37774956226348877},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.16900664567947388},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09965437650680542},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3445970.3451156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445970.3451156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.09751","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.09751","pdf_url":"https://arxiv.org/pdf/2102.09751","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:3130135460","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.09751.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2102.09751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.09751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.09751","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.09751","pdf_url":"https://arxiv.org/pdf/2102.09751","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3130135460.pdf","grobid_xml":"https://content.openalex.org/works/W3130135460.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W133884053","https://openalex.org/W1524288918","https://openalex.org/W1528076390","https://openalex.org/W1558352842","https://openalex.org/W1801919455","https://openalex.org/W1873763122","https://openalex.org/W2006453614","https://openalex.org/W2023037691","https://openalex.org/W2031738616","https://openalex.org/W2051267297","https://openalex.org/W2119874464","https://openalex.org/W2141420453","https://openalex.org/W2147768505","https://openalex.org/W2156001253","https://openalex.org/W2163605009","https://openalex.org/W2165063012","https://openalex.org/W2396881363","https://openalex.org/W2402235285","https://openalex.org/W2435473771","https://openalex.org/W2473418344","https://openalex.org/W2532781556","https://openalex.org/W2535690855","https://openalex.org/W2618530766","https://openalex.org/W2701059868","https://openalex.org/W2750384547","https://openalex.org/W2765200655","https://openalex.org/W2798657499","https://openalex.org/W2809380763","https://openalex.org/W2811323882","https://openalex.org/W2891866930","https://openalex.org/W2894947994","https://openalex.org/W2895977435","https://openalex.org/W2901516506","https://openalex.org/W2963106566","https://openalex.org/W2963374540","https://openalex.org/W2963752132","https://openalex.org/W2964318098","https://openalex.org/W2968856704","https://openalex.org/W3024092901","https://openalex.org/W3100944043","https://openalex.org/W3103940881"],"related_works":["https://openalex.org/W2981641173","https://openalex.org/W3104406626","https://openalex.org/W3095257868","https://openalex.org/W3037769136","https://openalex.org/W3081715777","https://openalex.org/W3010836652","https://openalex.org/W3143449803","https://openalex.org/W3119922393","https://openalex.org/W2905403397","https://openalex.org/W3135434750","https://openalex.org/W3172476731","https://openalex.org/W3089830493","https://openalex.org/W3113683795","https://openalex.org/W3098273862","https://openalex.org/W3204359140","https://openalex.org/W2573337238","https://openalex.org/W2952270003","https://openalex.org/W2073874433","https://openalex.org/W2946412645","https://openalex.org/W3015983782"],"abstract_inverted_index":{"When":[0],"multiple":[1,50,86],"parties":[2,51],"that":[3,67,167],"deal":[4],"with":[5,98,160],"private":[6,93],"data":[7,24],"aim":[8],"for":[9,153],"a":[10,37,65,123],"collaborative":[11,83],"prediction":[12,47,84,114],"task":[13],"such":[14],"as":[15,120],"medical":[16,143],"image":[17,144],"classification,":[18],"they":[19],"are":[20],"often":[21],"constrained":[22],"by":[23],"protection":[25],"regulations":[26],"and":[27,76,95,109,158],"lack":[28],"of":[29,49,71,92,155],"trust":[30],"among":[31,85],"collaborating":[32],"parties.":[33],"If":[34],"done":[35],"in":[36],"privacy-preserving":[38,82],"manner,":[39],"predictive":[40],"analytics":[41],"can":[42],"benefit":[43],"from":[44],"the":[45,56],"collective":[46],"capability":[48],"holding":[52],"complementary":[53,69],"datasets":[54,140],"on":[55,135],"same":[57],"machine":[58],"learning":[59],"task.":[60],"This":[61],"paper":[62],"presents":[63],"PRICURE,":[64],"system":[66],"combines":[68],"strengths":[70],"secure":[72,100],"multi-party":[73],"computation":[74],"(SMPC)":[75],"differential":[77],"privacy":[78,152],"(DP)":[79],"to":[80,102,121],"enable":[81],"model":[87,107,156],"owners.":[88],"SMPC":[89],"enables":[90],"secret-sharing":[91],"models":[94],"client":[96,125],"inputs":[97],"non-colluding":[99],"servers":[101],"compute":[103],"predictions":[104],"without":[105,174],"leaking":[106],"parameters":[108],"inputs.":[110],"DP":[111,168],"masks":[112],"true":[113],"results":[115,148],"via":[116],"noisy":[117],"aggregation":[118],"so":[119],"deter":[122],"semi-honest":[124],"who":[126],"may":[127],"mount":[128],"membership":[129,170],"inference":[130,171],"attacks.":[131],"We":[132,164],"evaluate":[133],"PRICURE":[134,150],"neural":[136],"networks":[137],"across":[138],"four":[139],"including":[141],"benchmark":[142],"classification":[145],"datasets.":[146],"Our":[147],"suggest":[149],"guarantees":[151],"tens":[154],"owners":[157],"clients":[159],"acceptable":[161],"accuracy":[162],"loss.":[163],"also":[165],"show":[166],"reduces":[169],"attack":[172],"exposure":[173],"hurting":[175],"accuracy.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}