{"id":"https://openalex.org/W3202476172","doi":null,"title":"MORSE-STF: A Privacy Preserving Computation System.","display_name":"MORSE-STF: A Privacy Preserving Computation System.","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3202476172","mag":"3202476172"},"language":"en","primary_location":{"id":"mag:3202476172","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2109.11726.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.11726.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102731015","display_name":"Qizhi Zhang","orcid":"https://orcid.org/0000-0002-5131-2202","observed_orcids":["https://orcid.org/0000-0002-5131-2202"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qizhi Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5131-2202","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113629381","display_name":"Yuan Zhao","orcid":"https://orcid.org/0000-0002-2922-6578","observed_orcids":["https://orcid.org/0000-0002-2922-6578"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Zhao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2922-6578","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101713256","display_name":"Lichun Li","orcid":"https://orcid.org/0009-0001-7495-1445","observed_orcids":["https://orcid.org/0009-0001-7495-1445"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lichun Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0001-7495-1445","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007056944","display_name":"JiaoFu Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"JiaoFu Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049454999","display_name":"Qichao Zhang","orcid":"https://orcid.org/0000-0001-9747-391X","observed_orcids":["https://orcid.org/0000-0001-9747-391X","https://orcid.org/0000-0002-8278-7083"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qichao Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8278-7083","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013753499","display_name":"Yashun Zhou","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yashun Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020682747","display_name":"Dong Yin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Yin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021415958","display_name":"Sijun Tan","orcid":"https://orcid.org/0009-0006-8532-6975","observed_orcids":["https://orcid.org/0009-0006-8532-6975"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sijun Tan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0006-8532-6975","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034365598","display_name":"Shan Yin","orcid":"https://orcid.org/0009-0000-6630-6051","observed_orcids":["https://orcid.org/0009-0000-6630-6051"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shan Yin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0000-6630-6051","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.04780000075697899,"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":0.001500000013038516,"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":0.9940000176429749},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"secure multi-party computation","score":0.9850000143051147},{"id":"https://openalex.org/keywords/cryptographic-protocols","display_name":"cryptographic protocols","score":0.8830000162124634},{"id":"https://openalex.org/keywords/round-complexity","display_name":"round complexity","score":0.5809999704360962},{"id":"https://openalex.org/keywords/communication-efficiency","display_name":"communication efficiency","score":0.7210000157356262},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"sigmoid function","score":0.40299999713897705},{"id":"https://openalex.org/keywords/relu","display_name":"ReLU","score":0.9629999995231628},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.796999990940094},{"id":"https://openalex.org/keywords/neural-network-training","display_name":"neural network training","score":0.6439999938011169},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.7319999933242798},{"id":"https://openalex.org/keywords/fully-connected-neural-network","display_name":"fully connected neural network","score":0.6800000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8025438785552979},{"id":"https://openalex.org/C18396474","wikidata":"https://www.wikidata.org/wiki/Q2465888","display_name":"Secure multi-party computation","level":3,"score":0.6290521025657654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6280648708343506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6146072745323181},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.610969066619873},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.564736008644104},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5562136173248291},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4822152853012085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4490625262260437},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31969940662384033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16336548328399658}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3202476172","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2109.11726.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3202476172","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2109.11726.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2701059868","https://openalex.org/W2895865029","https://openalex.org/W2896550391","https://openalex.org/W2963752132","https://openalex.org/W2974824775","https://openalex.org/W3014643566","https://openalex.org/W3093021001","https://openalex.org/W3185615781"],"related_works":["https://openalex.org/W4286964905","https://openalex.org/W2896550391","https://openalex.org/W2701059868","https://openalex.org/W3203784001","https://openalex.org/W2885216147","https://openalex.org/W7164529980","https://openalex.org/W4312428916","https://openalex.org/W2908477164","https://openalex.org/W4381886724","https://openalex.org/W7221720976"],"abstract_inverted_index":{"Privacy-preserving":[0],"machine":[1,23,50,63,105,122],"learning":[2,24,51,64,106,123],"has":[3,83],"become":[4],"a":[5,48],"popular":[6],"area":[7],"of":[8],"research":[9],"due":[10],"to":[11,20,26,60,117],"the":[12,42,126],"increasing":[13],"concern":[14],"over":[15],"data":[16,39,43],"privacy.":[17],"One":[18],"way":[19],"achieve":[21],"privacy-preserving":[22,49,121],"is":[25,58,115],"use":[27],"secure":[28],"multi-party":[29],"computation,":[30],"where":[31],"multiple":[32],"distrusting":[33],"parties":[34],"can":[35],"perform":[36],"computations":[37],"on":[38,54],"without":[40],"revealing":[41],"itself.":[44],"We":[45,77],"present":[46],"Secure-TF,":[47],"framework":[52,57,124],"based":[53],"MPC.":[55],"Our":[56],"able":[59,116],"support":[61],"widely-used":[62],"models":[65],"such":[66],"as":[67],"logistic":[68],"regression,":[69],"fully-connected":[70],"neural":[71,75],"network,":[72],"and":[73,87,95],"convolutional":[74],"network.":[76],"propose":[78],"novel":[79],"cryptographic":[80],"protocols":[81],"that":[82],"lower":[84],"round":[85],"complexity":[86],"less":[88],"communication":[89],"for":[90,103],"computing":[91],"sigmoid,":[92],"ReLU,":[93],"conv2D":[94],"there":[96],"derivatives.":[97],"All":[98],"are":[99],"central":[100],"building":[101],"blocks":[102],"modern":[104],"models.":[107],"With":[108],"our":[109,113],"more":[110],"efficient":[111],"protocols,":[112],"system":[114],"outperform":[118],"previous":[119],"state-of-the-art":[120],"in":[125],"WAN":[127],"setting.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-10-11T00:00:00"}