{"id":"https://openalex.org/W3028290818","doi":"https://doi.org/10.48550/arxiv.2005.10296","title":"SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning","display_name":"SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning","publication_year":2020,"publication_date":"2020-05-20","ids":{"openalex":"https://openalex.org/W3028290818","doi":"https://doi.org/10.48550/arxiv.2005.10296","mag":"3028290818"},"language":"en","primary_location":{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:146827","doi":null,"is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/146827/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.10296","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038801288","display_name":"Nishat Koti","orcid":"https://orcid.org/0000-0003-4923-8215","observed_orcids":["https://orcid.org/0000-0003-4923-8215"]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Koti, Nishat","raw_affiliation_strings":["Indian Institute of Science--Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science--Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064734346","display_name":"Mahak Pancholi","orcid":"https://orcid.org/0009-0006-5317-5535","observed_orcids":["https://orcid.org/0009-0006-5317-5535"]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pancholi, Mahak","raw_affiliation_strings":["Indian Institute of Science--Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science--Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054641777","display_name":"Arpita Patra","orcid":"https://orcid.org/0000-0002-8036-4407","observed_orcids":["https://orcid.org/0000-0002-8036-4407","https://orcid.org/0000-0002-0188-6558"]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Patra, Arpita","raw_affiliation_strings":["Indian Institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085885345","display_name":"Ajith Suresh","orcid":"https://orcid.org/0000-0002-5164-7758","observed_orcids":["https://orcid.org/0000-0002-5164-7758"]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suresh, Ajith","raw_affiliation_strings":["Indian Institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":3.3384,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.93977398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"2020","issue":null,"first_page":"2651","last_page":"2668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9320999979972839,"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":0.9320999979972839,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.044199999421834946,"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/T11614","display_name":"Cloud Data Security Solutions","score":0.012199999764561653,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.9990000128746033},{"id":"https://openalex.org/keywords/three-party-computation","display_name":"three-party computation","score":0.8169999718666077},{"id":"https://openalex.org/keywords/malicious-security","display_name":"malicious security","score":0.7369999885559082},{"id":"https://openalex.org/keywords/honest-majority","display_name":"honest majority","score":0.7160000205039978},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.640999972820282},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.7710000276565552},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.921999990940094}],"concepts":[{"id":"https://openalex.org/C116188536","wikidata":"https://www.wikidata.org/wiki/Q17118377","display_name":"Swift","level":2,"score":0.9564365148544312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879019498825073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4555252492427826},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.338815301656723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3233717679977417},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:146827","doi":null,"is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/146827/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"},{"id":"pmh:oai:arXiv.org:2005.10296","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10296","pdf_url":"https://arxiv.org/pdf/2005.10296","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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:3203738840","doi":null,"is_oa":false,"landing_page_url":"https://eprint.iacr.org/2020/592.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764847869","display_name":"IACR Cryptology ePrint Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4322614454"],"host_organization_lineage_names":["Cryptology ePrint Archive"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IACR Cryptology ePrint Archive","raw_type":null},{"id":"doi:10.48550/arxiv.2005.10296","doi":"https://doi.org/10.48550/arxiv.2005.10296","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2005.10296","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:3030921821","doi":null,"is_oa":false,"landing_page_url":"https://atc.usenix.org/system/files/sec21fall-koti.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421123","display_name":"USENIX Security Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"USENIX Security Symposium","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.10296","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10296","pdf_url":"https://arxiv.org/pdf/2005.10296","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W179458199","https://openalex.org/W1245637661","https://openalex.org/W1485800369","https://openalex.org/W1595357546","https://openalex.org/W1635361314","https://openalex.org/W1686810756","https://openalex.org/W1968265138","https://openalex.org/W1969009977","https://openalex.org/W2001084165","https://openalex.org/W2004729949","https://openalex.org/W2009733253","https://openalex.org/W2047370889","https://openalex.org/W2082624086","https://openalex.org/W2088339831","https://openalex.org/W2112796928","https://openalex.org/W2126924915","https://openalex.org/W2128309988","https://openalex.org/W2132241724","https://openalex.org/W2160502124","https://openalex.org/W2402235285","https://openalex.org/W2477068038","https://openalex.org/W2536058570","https://openalex.org/W2539273492","https://openalex.org/W2610788523","https://openalex.org/W2614104334","https://openalex.org/W2701059868","https://openalex.org/W2704367133","https://openalex.org/W2757573842","https://openalex.org/W2794500245","https://openalex.org/W2794685135","https://openalex.org/W2794855042","https://openalex.org/W2809697729","https://openalex.org/W2884909828","https://openalex.org/W2889904427","https://openalex.org/W2895865029","https://openalex.org/W2927379348","https://openalex.org/W2954005977","https://openalex.org/W2954641881","https://openalex.org/W2963106566","https://openalex.org/W2963752132","https://openalex.org/W2969140724","https://openalex.org/W2984746198","https://openalex.org/W2985714690","https://openalex.org/W2990913254","https://openalex.org/W3030382486","https://openalex.org/W3037076805","https://openalex.org/W3049531184","https://openalex.org/W3095979399","https://openalex.org/W3108146280"],"related_works":["https://openalex.org/W3030382486","https://openalex.org/W4226152926","https://openalex.org/W2994111940","https://openalex.org/W3202476172","https://openalex.org/W4403717492","https://openalex.org/W4400019411","https://openalex.org/W4226493106","https://openalex.org/W4407357307","https://openalex.org/W4416157198","https://openalex.org/W4312831571"],"abstract_inverted_index":{"Performing":[0],"machine":[1],"learning":[2],"(ML)":[3],"computation":[4,42,50,126],"on":[5,65],"private":[6],"data":[7,10],"while":[8,275],"maintaining":[9],"privacy,":[11],"aka":[12],"Privacy-preserving":[13],"Machine":[14],"Learning~(PPML),":[15],"is":[16,51,147,160,165,198],"an":[17],"emergent":[18],"field":[19],"of":[20,32,56,82,96,111,113,118,143],"research.":[21],"Recently,":[22],"PPML":[23,77,153],"has":[24],"seen":[25],"a":[26,54,66,75,80,101,122,253,257],"visible":[27],"shift":[28],"towards":[29],"the":[30,33,40,47,93,109,116,137,141,148,156,172,202,217],"adoption":[31],"Secure":[34],"Outsourced":[35],"Computation~(SOC)":[36],"paradigm":[37],"due":[38],"to":[39,53,92,266],"heavy":[41],"that":[43,62,88,130,269],"it":[44],"entails.":[45],"In":[46,69,194],"SOC":[48,86],"paradigm,":[49],"outsourced":[52],"set":[55],"powerful":[57],"and":[58,151,213,242,249,282],"specially":[59],"equipped":[60],"servers":[61],"provide":[63,271],"service":[64],"pay-per-use":[67],"basis.":[68],"this":[70,195],"work,":[71],"we":[72,270],"propose":[73],"SWIFT,":[74],"robust":[76,150,219],"framework":[78,120,154,175,189,207,221],"for":[79,190,280,286],"range":[81],"ML":[83,236],"algorithms":[84,237],"in":[85,136,155,168,256],"setting,":[87],"guarantees":[89],"output":[90,133],"delivery":[91,134],"users":[94],"irrespective":[95],"any":[97],"adversarial":[98],"behaviour.":[99],"Robustness,":[100],"highly":[102],"desirable":[103],"feature,":[104],"evokes":[105],"user":[106],"participation":[107],"without":[108],"fear":[110],"denial":[112],"service.":[114],"At":[115],"heart":[117],"our":[119,144,187,229,263,267],"lies":[121],"highly-efficient,":[123],"maliciously-secure,":[124],"three-party":[125],"(3PC)":[127],"over":[128,252],"rings":[129],"provides":[131],"guaranteed":[132],"(GOD)":[135],"honest-majority":[138],"setting.":[139,158,259],"To":[140],"best":[142,203],"knowledge,":[145],"SWIFT":[146,159,197],"first":[149],"efficient":[152],"3PC":[157,174,188,281],"as":[161,163,199,201,239,247],"fast":[162,200],"(and":[164],"strictly":[166],"better":[167],"some":[169],"cases":[170],"than)":[171],"best-known":[173,218],"BLAZE":[176],"(Patra":[177],"et":[178,210,224],"al.":[179,211,225],"NDSS'20),":[180],"which":[181],"only":[182],"achieves":[183],"fairness.":[184],"We":[185,227],"extend":[186],"four":[191],"parties":[192],"(4PC).":[193],"regime,":[196],"known":[204],"fair":[205],"4PC":[206,220],"Trident":[208],"(Chaudhari":[209],"NDSS'20)":[212],"twice":[214],"faster":[215],"than":[216],"FLASH":[222],"(Byali":[223],"PETS'20).":[226],"demonstrate":[228],"framework's":[230],"practical":[231],"relevance":[232],"by":[233],"benchmarking":[234],"popular":[235],"such":[238,246],"Logistic":[240],"Regression":[241],"deep":[243,261],"Neural":[244],"Networks":[245],"VGG16":[248],"LeNet,":[250],"both":[251],"64-bit":[254],"ring":[255],"WAN":[258],"For":[260],"NN,":[262],"results":[264],"testify":[265],"claims":[268],"improved":[272],"security":[273],"guarantee":[274],"incurring":[276],"no":[277],"additional":[278],"overhead":[279],"obtaining":[283],"2x":[284],"improvement":[285],"4PC.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-05-29T00:00:00"}
