{"id":"https://openalex.org/W4412610417","doi":"https://doi.org/10.1109/hpcc64274.2024.00204","title":"Efficient Secure Inference Scheme for Large Neural Networks","display_name":"Efficient Secure Inference Scheme for Large Neural Networks","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412610417","doi":"https://doi.org/10.1109/hpcc64274.2024.00204"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc64274.2024.00204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103325740","display_name":"Lin Chen","orcid":"https://orcid.org/0000-0002-2775-9012"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Chen","raw_affiliation_strings":["CSG,Electric Power Research Institute,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSG,Electric Power Research Institute,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110917497","display_name":"Yiwei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Yang","raw_affiliation_strings":["CSG,Electric Power Research Institute,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSG,Electric Power Research Institute,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327839","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0001-8246-0606"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Xidian University,School of Cyber Engineering,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Cyber Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102885964","display_name":"Yinbin Miao","orcid":"https://orcid.org/0000-0001-5437-3572"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinbin Miao","raw_affiliation_strings":["Xidian University,School of Cyber Engineering,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Cyber Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008469643","display_name":"Zhihong Liang","orcid":"https://orcid.org/0000-0002-7489-6538"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Liang","raw_affiliation_strings":["CSG,Electric Power Research Institute,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSG,Electric Power Research Institute,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100531107","display_name":"Chao Hong","orcid":"https://orcid.org/0000-0003-1361-7483"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Hong","raw_affiliation_strings":["CSG,Electric Power Research Institute,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSG,Electric Power Research Institute,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43319524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1538","last_page":"1547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7950979471206665},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6463719010353088},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6078116297721863},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5865195989608765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4121303856372833},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4097396731376648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09425416588783264}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950979471206665},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6463719010353088},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6078116297721863},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5865195989608765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4121303856372833},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4097396731376648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09425416588783264},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc64274.2024.00204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1544327602","https://openalex.org/W2194775991","https://openalex.org/W2435473771","https://openalex.org/W2519006453","https://openalex.org/W2765200655","https://openalex.org/W3012067046","https://openalex.org/W3012130770","https://openalex.org/W3018474919","https://openalex.org/W3021878953","https://openalex.org/W3093021001","https://openalex.org/W3160118092","https://openalex.org/W3216559820","https://openalex.org/W4205505117","https://openalex.org/W4285130736","https://openalex.org/W4319454253","https://openalex.org/W4392450710","https://openalex.org/W4398198046","https://openalex.org/W4399882398","https://openalex.org/W6637418260","https://openalex.org/W6748082217"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1975289146","https://openalex.org/W2105887828","https://openalex.org/W2122599759","https://openalex.org/W4236520801","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4321636575","https://openalex.org/W2111375262","https://openalex.org/W1537234410"],"abstract_inverted_index":{"Secure":[0],"inference":[1,19,99],"is":[2,35,86],"the":[3,26,31,84,110,130,143],"main":[4],"technology":[5],"to":[6,56,121],"avoid":[7],"privacy":[8],"leakage":[9],"when":[10,30,83,173],"reasoning":[11],"with":[12,48,175],"machine":[13],"learning":[14],"models.":[15],"The":[16],"existing":[17,37,67],"secure":[18,98],"schemes":[20,70],"have":[21,71],"been":[22],"widely":[23],"explored":[24],"in":[25,125,139,147,169],"academic":[27],"field,":[28],"but":[29],"neural":[32,126,171],"network":[33],"model":[34,85],"large,":[36],"solutions":[38],"based":[39],"on":[40],"Trusted":[41],"Execution":[42],"Environments":[43],"(TEE)":[44],"must":[45],"be":[46],"configured":[47],"a":[49,72,94,103,117],"large":[50,170],"number":[51],"of":[52,132,145],"trusted":[53,118],"devices":[54],"due":[55],"insufficient":[57],"hardware":[58],"memory,":[59],"which":[60,78,107,128],"incurs":[61,79],"high":[62,73,80,133],"deployment":[63],"costs.":[64],"In":[65],"addition,":[66],"homomorphic":[68],"encryption":[69],"computational":[74,134],"cost":[75,82,135],"for":[76,112,136],"ciphertexts,":[77],"time":[81,96,167],"large.":[87],"To":[88],"address":[89],"these":[90],"issues,":[91],"we":[92],"propose":[93],"low":[95],"overhead":[97,168],"scheme":[100,154,164],"by":[101],"training":[102],"generative":[104],"adversarial":[105],"network,":[106],"can":[108],"reduce":[109],"calculations":[111],"ciphertext.":[113],"We":[114],"also":[115],"use":[116],"execution":[119],"environment":[120],"compute":[122],"nonlinear":[123,137],"functions":[124,138],"networks,":[127],"solves":[129],"problem":[131],"HE":[140],"while":[141],"suppressing":[142],"growth":[144],"noise":[146],"HE.":[148],"Security":[149],"analysis":[150],"proves":[151],"that":[152,162],"our":[153,163],"achieves":[155],"semi-honest":[156],"security,":[157],"and":[158],"extensive":[159],"experiments":[160],"demonstrate":[161],"has":[165],"lower":[166],"networks":[172],"compare":[174],"previous":[176],"solutions.":[177]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
