{"id":"https://openalex.org/W4200130301","doi":"https://doi.org/10.1145/3494885.3494923","title":"Study on linear optimization of activation function of homomorphic encryption neural network","display_name":"Study on linear optimization of activation function of homomorphic encryption neural network","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4200130301","doi":"https://doi.org/10.1145/3494885.3494923"},"language":"en","primary_location":{"id":"doi:10.1145/3494885.3494923","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3494885.3494923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021)","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/A5100664112","display_name":"Hong-Quan Li","orcid":"https://orcid.org/0000-0001-5469-2282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongquan Li","raw_affiliation_strings":["The 30th Research Institute of CETC, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The 30th Research Institute of CETC, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102224931","display_name":"Yunfei Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunfei Cao","raw_affiliation_strings":["The 30th Research Institute of CETC, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The 30th Research Institute of CETC, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1465,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43452203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9918000102043152,"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/T12676","display_name":"Machine Learning and ELM","score":0.984000027179718,"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/computer-science","display_name":"Computer science","score":0.6619360446929932},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6089847087860107},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.5283275842666626},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5072433352470398},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.47823041677474976},{"id":"https://openalex.org/keywords/functional-encryption","display_name":"Functional encryption","score":0.4533670246601105},{"id":"https://openalex.org/keywords/hyperbolic-function","display_name":"Hyperbolic function","score":0.4310981035232544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42601001262664795},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.42365503311157227},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39743542671203613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23887741565704346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22462651133537292},{"id":"https://openalex.org/keywords/ciphertext","display_name":"Ciphertext","score":0.15306714177131653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619360446929932},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6089847087860107},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.5283275842666626},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5072433352470398},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.47823041677474976},{"id":"https://openalex.org/C2780746774","wikidata":"https://www.wikidata.org/wiki/Q17014981","display_name":"Functional encryption","level":4,"score":0.4533670246601105},{"id":"https://openalex.org/C92047909","wikidata":"https://www.wikidata.org/wiki/Q204034","display_name":"Hyperbolic function","level":2,"score":0.4310981035232544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42601001262664795},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.42365503311157227},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39743542671203613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23887741565704346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22462651133537292},{"id":"https://openalex.org/C93974786","wikidata":"https://www.wikidata.org/wiki/Q1589480","display_name":"Ciphertext","level":3,"score":0.15306714177131653},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3494885.3494923","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3494885.3494923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5699999928474426,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2794888826"],"related_works":["https://openalex.org/W4211198594","https://openalex.org/W4295036712","https://openalex.org/W2811324119","https://openalex.org/W3216434047","https://openalex.org/W4385451479","https://openalex.org/W3110577345","https://openalex.org/W3175461337","https://openalex.org/W2032258609","https://openalex.org/W2906090557","https://openalex.org/W2889196975"],"abstract_inverted_index":{"Since":[0,64],"the":[1,4,32,38,45,48,54,57,61,65,72,81,86,93,97,103,112,123,130,138,153,170,174,177,181,196],"20th":[2],"century,":[3],"research":[5],"on":[6,18,122],"cipher":[7],"neural":[8,19,35,62,94,197],"network":[9,20,36,95,198],"is":[10,21,166,207],"more":[11,13,208],"and":[12,37,68,85,149,156,201],"in-depth.":[14],"Encryption":[15],"scheme":[16,26],"based":[17],"from":[22],"layered":[23],"homomorphic":[24,29],"encryption":[25,30],"to":[27,111,116,135],"fully":[28],"scheme,":[31],"accuracy":[33,200],"of":[34,47,56,99,125,132,143,173,176,189],"resource":[39],"consumption":[40],"in":[41,60,71,96,129,204],"calculation":[42,106],"are":[43,75],"always":[44],"core":[46],"research.":[49],"This":[50],"paper":[51,121],"mainly":[52],"studies":[53],"optimization":[55],"excitation":[58,87],"layer":[59,67,70,74,88],"network.":[63],"convolution":[66],"pooling":[69],"hidden":[73],"linear":[76,154],"operations,":[77],"they":[78],"can":[79],"support":[80],"secret":[82,104],"state":[83,105],"operation,":[84],"introduces":[89],"nonlinear":[90,100],"factors":[91],"into":[92],"form":[98],"functions,":[101],"so":[102],"cannot":[107],"be":[108],"directly":[109],"applied":[110],"layer.":[113],"In":[114],"order":[115],"solve":[117],"this":[118,120],"problem,":[119],"basis":[124],"CryptoNets":[126],"model,":[127],"only":[128],"case":[131],"low":[133],"degree":[134],"consider":[136],"about":[137],"commonly":[139,182],"used":[140,183],"three":[141],"kinds":[142],"activation":[144,194],"function":[145,151,165,191],":":[146,162],"Sigmoid,":[147],"Tanh":[148],"ReLU":[150],"for":[152],"approximation,":[155],"proposed":[157],"a":[158,186],"new":[159,187],"approximate":[160,164,184,190],"method":[161,188],"An":[163],"constructed":[167],"by":[168],"using":[169],"structural":[171],"characteristics":[172],"derivative":[175],"function,":[178,195],"compared":[179],"with":[180],"method,":[185],"replacement":[192],"after":[193],"prediction":[199],"operation":[202],"time":[203],"both":[205],"performance":[206],"outstanding.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}