{"id":"https://openalex.org/W2620512600","doi":"https://doi.org/10.1145/3195970.3196023","title":"Deepsecure","display_name":"Deepsecure","publication_year":2018,"publication_date":"2018-06-19","ids":{"openalex":"https://openalex.org/W2620512600","doi":"https://doi.org/10.1145/3195970.3196023","mag":"2620512600"},"language":"en","primary_location":{"id":"doi:10.1145/3195970.3196023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3195970.3196023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3195970.3196023","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual Design Automation Conference","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/10.1145/3195970.3196023","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035073741","display_name":"Bita Darvish Rouhani","orcid":"https://orcid.org/0000-0002-8412-4320"},"institutions":[{"id":"https://openalex.org/I2800935791","display_name":"UC San Diego Health System","ror":"https://ror.org/01kbfgm16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800935791"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bita Darvish Rouhani","raw_affiliation_strings":["UC San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC San Diego","institution_ids":["https://openalex.org/I2800935791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001171298","display_name":"M. Sadegh Riazi","orcid":"https://orcid.org/0000-0002-6316-4649"},"institutions":[{"id":"https://openalex.org/I2800935791","display_name":"UC San Diego Health System","ror":"https://ror.org/01kbfgm16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800935791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Sadegh Riazi","raw_affiliation_strings":["UC San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC San Diego","institution_ids":["https://openalex.org/I2800935791"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019931011","display_name":"Farinaz Koushanfar","orcid":"https://orcid.org/0000-0003-0798-3794"},"institutions":[{"id":"https://openalex.org/I2800935791","display_name":"UC San Diego Health System","ror":"https://ror.org/01kbfgm16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800935791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farinaz Koushanfar","raw_affiliation_strings":["UC San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC San Diego","institution_ids":["https://openalex.org/I2800935791"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035073741"],"corresponding_institution_ids":["https://openalex.org/I2800935791"],"apc_list":null,"apc_paid":null,"fwci":28.7599,"has_fulltext":true,"cited_by_count":255,"citation_normalized_percentile":{"value":0.99630795,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","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/T10237","display_name":"Cryptography and Data Security","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/T11424","display_name":"Security and Verification in Computing","score":0.9984999895095825,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8507870435714722},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.8331239819526672},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6687881946563721},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6138036847114563},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5943372249603271},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5667722225189209},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5382155776023865},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5299839973449707},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5243759155273438},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5057964324951172},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4679160416126251},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4546419382095337},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.45451685786247253},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3369486629962921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20522260665893555},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1888464093208313},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1670365035533905},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14120888710021973},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12624779343605042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8507870435714722},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8331239819526672},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6687881946563721},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6138036847114563},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5943372249603271},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5667722225189209},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5382155776023865},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5299839973449707},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5243759155273438},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5057964324951172},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4679160416126251},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4546419382095337},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.45451685786247253},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3369486629962921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20522260665893555},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1888464093208313},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1670365035533905},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14120888710021973},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12624779343605042},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3195970.3196023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3195970.3196023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3195970.3196023","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3195970.3196023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3195970.3196023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3195970.3196023","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G2388209755","display_name":null,"funder_award_id":"N00014-17-1-2500","funder_id":"https://openalex.org/F4320338298","funder_display_name":"Office of Naval Research Global"},{"id":"https://openalex.org/G3294363107","display_name":null,"funder_award_id":"CNS-1619261","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G351316493","display_name":null,"funder_award_id":"N00014-17-1-2500","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4504108201","display_name":null,"funder_award_id":"N00014-17-1","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8014714550","display_name":"STARSS: Small: GC@Scale: Synthesis, optimization, and implementation of Garbled Circuits for Scalable Privacy-Preserving Computing","funder_award_id":"1619261","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338298","display_name":"Office of Naval Research Global","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2620512600.pdf","grobid_xml":"https://content.openalex.org/works/W2620512600.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W297966986","https://openalex.org/W780859780","https://openalex.org/W1493343761","https://openalex.org/W1512353448","https://openalex.org/W1826277484","https://openalex.org/W1845051632","https://openalex.org/W1973124816","https://openalex.org/W2005697477","https://openalex.org/W2023951105","https://openalex.org/W2040168265","https://openalex.org/W2083847133","https://openalex.org/W2088492763","https://openalex.org/W2134340933","https://openalex.org/W2170696315","https://openalex.org/W2435473771","https://openalex.org/W2488255893","https://openalex.org/W2559655401","https://openalex.org/W2613288670","https://openalex.org/W2625592091","https://openalex.org/W2701059868","https://openalex.org/W2725615981","https://openalex.org/W2765200655","https://openalex.org/W2914584698","https://openalex.org/W2919115771","https://openalex.org/W3120740533","https://openalex.org/W4250776762","https://openalex.org/W6760385162"],"related_works":["https://openalex.org/W2092530219","https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2388464034","https://openalex.org/W2533125852","https://openalex.org/W2043523297","https://openalex.org/W2078379271","https://openalex.org/W2043460294","https://openalex.org/W4210712718","https://openalex.org/W1905398909"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"DeepSecure,":[3],"the":[4,33,37,42,47,52,63,80,122,129,145,150],"an":[5],"scalable":[6,69],"and":[7,23,68],"provably":[8],"secure":[9,86],"Deep":[10],"Learning":[11],"(DL)":[12],"framework":[13,61],"that":[14,40],"is":[15,54,62,91],"built":[16],"upon":[17],"automated":[18],"design,":[19],"efficient":[20],"logic":[21],"synthesis,":[22],"optimization":[24],"methodologies.":[25],"DeepSecure":[26,90],"targets":[27],"scenarios":[28],"in":[29,89,107,149],"which":[30,142],"neither":[31],"of":[32,72,103,137,152,169],"involved":[34],"parties":[35],"including":[36],"cloud":[38],"servers":[39],"hold":[41],"DL":[43,70,87],"model":[44],"parameters":[45],"or":[46],"delegating":[48],"clients":[49,77],"who":[50],"own":[51],"data":[53,73],"willing":[55],"to":[56,65,82,114,128,159],"reveal":[57],"their":[58],"information.":[59],"Our":[60,109,154],"first":[64],"empower":[66],"accurate":[67],"analysis":[71],"generated":[74],"by":[75],"distributed":[76],"without":[78],"sacrificing":[79],"security":[81],"maintain":[83],"efficiency.":[84],"The":[85],"computation":[88],"performed":[92],"using":[93],"Yao's":[94],"Garbled":[95],"Circuit":[96],"(GC)":[97],"protocol.":[98],"We":[99],"devise":[100],"GC-optimized":[101],"realization":[102],"various":[104],"components":[105],"used":[106],"DL.":[108,153],"optimized":[110,130],"implementation":[111],"achieves":[112],"up":[113,158],"58-fold":[115],"higher":[116],"throughput":[117],"per":[118],"sample":[119],"compared":[120],"with":[121],"best":[123],"prior":[124],"solution.":[125],"In":[126],"addition":[127],"GC":[131,146],"realization,":[132],"we":[133],"introduce":[134],"a":[135,167],"set":[136],"novel":[138],"low-overhead":[139],"pre-processing":[140,171],"techniques":[141],"further":[143],"reduce":[144],"overall":[147],"runtime":[148,163],"context":[151],"extensive":[155],"evaluations":[156],"demonstrate":[157],"two":[160],"orders-of-magnitude":[161],"additional":[162],"improvement":[164],"achieved":[165],"as":[166],"result":[168],"our":[170],"methodology.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":55},{"year":2020,"cited_by_count":62},{"year":2019,"cited_by_count":40},{"year":2018,"cited_by_count":13}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2017-06-05T00:00:00"}
