{"id":"https://openalex.org/W3093903017","doi":"https://doi.org/10.1109/itw46852.2021.9457645","title":"Non-Stochastic Private Function Evaluation","display_name":"Non-Stochastic Private Function Evaluation","publication_year":2021,"publication_date":"2021-04-11","ids":{"openalex":"https://openalex.org/W3093903017","doi":"https://doi.org/10.1109/itw46852.2021.9457645","mag":"3093903017"},"language":"en","primary_location":{"id":"doi:10.1109/itw46852.2021.9457645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw46852.2021.9457645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Information Theory Workshop (ITW)","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/2010.09968","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068636477","display_name":"Farhad Farokhi","orcid":"https://orcid.org/0000-0002-5102-7073"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Farhad Farokhi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Australia","University of Melbourne"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021984276","display_name":"Girish N. Nair","orcid":"https://orcid.org/0000-0002-4342-209X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Girish Nair","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Australia","University of Melbourne"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068636477"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":0.2799,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61064992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10237","display_name":"Cryptography and Data Security","score":0.9937999844551086,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9932000041007996,"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/differential-privacy","display_name":"Differential privacy","score":0.8949951529502869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.649913489818573},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5887935161590576},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.549958348274231},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4972889721393585},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4961570203304291},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.4401167333126068},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.42516231536865234},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4250052571296692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25321972370147705},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24294328689575195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2402825951576233},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1641179621219635}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8949951529502869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649913489818573},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5887935161590576},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.549958348274231},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4972889721393585},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4961570203304291},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.4401167333126068},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.42516231536865234},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4250052571296692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25321972370147705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24294328689575195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2402825951576233},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1641179621219635},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/itw46852.2021.9457645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw46852.2021.9457645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.09968","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.09968","pdf_url":"https://arxiv.org/pdf/2010.09968","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":"","raw_type":"text"},{"id":"mag:3093903017","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2010.09968.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":"pmh:oai:jupiter.its.unimelb.edu.au:11343/279425","is_oa":false,"landing_page_url":"http://hdl.handle.net/11343/279425","pdf_url":null,"source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE Information Theory Workshop (ITW)","raw_type":"Conference Paper"},{"id":"doi:10.48550/arxiv.2010.09968","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.09968","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:2010.09968","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.09968","pdf_url":"https://arxiv.org/pdf/2010.09968","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320974","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093903017.pdf","grobid_xml":"https://content.openalex.org/works/W3093903017.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1494976167","https://openalex.org/W1497454515","https://openalex.org/W1545744341","https://openalex.org/W1622686296","https://openalex.org/W1873763122","https://openalex.org/W1972057797","https://openalex.org/W2026875645","https://openalex.org/W2027340571","https://openalex.org/W2056963858","https://openalex.org/W2082661869","https://openalex.org/W2087154854","https://openalex.org/W2104866660","https://openalex.org/W2106622011","https://openalex.org/W2109394932","https://openalex.org/W2109426455","https://openalex.org/W2112380340","https://openalex.org/W2119067110","https://openalex.org/W2122882636","https://openalex.org/W2125317383","https://openalex.org/W2134479759","https://openalex.org/W2141432745","https://openalex.org/W2148955694","https://openalex.org/W2159024459","https://openalex.org/W2159131252","https://openalex.org/W2165559465","https://openalex.org/W2263689172","https://openalex.org/W2343097824","https://openalex.org/W2473418344","https://openalex.org/W2540895903","https://openalex.org/W2568821124","https://openalex.org/W2805828039","https://openalex.org/W2887718004","https://openalex.org/W2898223812","https://openalex.org/W2909258155","https://openalex.org/W2909601094","https://openalex.org/W2911870912","https://openalex.org/W2951114885","https://openalex.org/W2962719046","https://openalex.org/W2963535017","https://openalex.org/W2975997099","https://openalex.org/W2976399918","https://openalex.org/W2976877735","https://openalex.org/W2982293163","https://openalex.org/W3015535799","https://openalex.org/W3020222398","https://openalex.org/W3036459979","https://openalex.org/W3089222459","https://openalex.org/W6639246211","https://openalex.org/W6693193963","https://openalex.org/W6731627051","https://openalex.org/W6776557695","https://openalex.org/W6785004714"],"related_works":["https://openalex.org/W3174156881","https://openalex.org/W3195132180","https://openalex.org/W2160113380","https://openalex.org/W2982293163","https://openalex.org/W2898223812","https://openalex.org/W2963502357","https://openalex.org/W2955316800","https://openalex.org/W2808464892","https://openalex.org/W2000263922","https://openalex.org/W2515654213","https://openalex.org/W1497454515","https://openalex.org/W1649611255","https://openalex.org/W2611718442","https://openalex.org/W3159855141","https://openalex.org/W2151204934","https://openalex.org/W2209294069","https://openalex.org/W2269133676","https://openalex.org/W2997147031","https://openalex.org/W192568510","https://openalex.org/W2551592225"],"abstract_inverted_index":{"We":[0,70,95,124,164],"consider":[1],"private":[2,11,55],"function":[3,157,178,191],"evaluation":[4,158,192],"to":[5,46,136,155],"provide":[6,110],"query":[7,51,170,186],"responses":[8],"based":[9],"on":[10,62],"data":[12,30,162],"of":[13,31,49,58,66,83,90,100,121,141,147,169,179,184],"multiple":[14],"untrusted":[15],"entities":[16],"in":[17,39,144],"such":[18],"a":[19,40,67,88,111,177],"way":[20],"that":[21,72,80,103,131,166],"each":[22],"cannot":[23],"learn":[24],"something":[25],"substantially":[26],"new":[27,133],"about":[28],"the":[29,50,54,63,84,91,97,101,119,145,153,173,185],"others.":[32],"First,":[33],"we":[34,117,151],"introduce":[35],"perfect":[36,73,122,127,148],"non-stochastic":[37],"privacy":[38,44,74,114,128,180],"two-party":[41],"scenario.":[42],"Perfect":[43],"amounts":[45],"conditional":[47,138,142],"unrelatedness":[48,143],"response":[52],"and":[53,115,129,182],"uncertain":[56,64,86],"variable":[57,65],"other":[59],"individuals":[60],"conditioned":[61],"given":[68],"entity.":[69],"show":[71,130],"can":[75],"be":[76],"achieved":[77],"for":[78],"queries":[79,102],"are":[81],"functions":[82],"common":[85,92],"variable,":[87],"generalization":[89],"random":[93],"variable.":[94],"compute":[96],"closest":[98],"approximation":[99],"do":[104],"not":[105],"take":[106],"this":[107,132],"form.":[108],"To":[109],"trade-off":[112],"between":[113],"utility,":[116],"relax":[118],"notion":[120],"privacy.":[123,149,193],"define":[125],"almost":[126],"definition":[134,146],"equates":[135],"using":[137],"disassociation":[139],"instead":[140],"Then,":[150],"generalize":[152],"definitions":[154],"multi-party":[156],"(more":[159],"than":[160],"two":[161],"entities).":[163],"prove":[165],"uniform":[167],"quantization":[168,174],"responses,":[171],"where":[172],"resolution":[175],"is":[176],"budget":[181],"sensitivity":[183],"(cf.,":[187],"differential":[188],"privacy),":[189],"achieves":[190]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
