{"id":"https://openalex.org/W3200727301","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533501","title":"Private FLI: Anti-Gradient Leakage Recovery Data Privacy Architecture","display_name":"Private FLI: Anti-Gradient Leakage Recovery Data Privacy Architecture","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200727301","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533501","mag":"3200727301"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5000340895","display_name":"Huichao Wang","orcid":"https://orcid.org/0000-0003-3584-090X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huichao Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057246165","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0003-0332-2649"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073943470","display_name":"Bangzhou Xin","orcid":"https://orcid.org/0000-0002-4585-1613"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangzhou Xin","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101989102","display_name":"Yangyang Geng","orcid":"https://orcid.org/0000-0002-0157-4749"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Geng","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078030239","display_name":"Zhenbo Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenbo Shi","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019604942","display_name":"Liusheng Huang","orcid":"https://orcid.org/0000-0001-8417-3256"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liusheng Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000340895"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13226031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9995999932289124,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9878000020980835,"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/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.9014652371406555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8071072101593018},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7911539077758789},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.6762920022010803},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.623298704624176},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6216407418251038},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.5880604386329651},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5788464546203613},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5607854723930359},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5503348112106323},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.48264962434768677},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.47254443168640137},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4321242570877075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33230429887771606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17008152604103088}],"concepts":[{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.9014652371406555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071072101593018},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7911539077758789},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.6762920022010803},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.623298704624176},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6216407418251038},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.5880604386329651},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5788464546203613},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5607854723930359},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5503348112106323},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.48264962434768677},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.47254443168640137},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4321242570877075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33230429887771606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17008152604103088},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1530276735","https://openalex.org/W2003647955","https://openalex.org/W2051267297","https://openalex.org/W2053637704","https://openalex.org/W2104825706","https://openalex.org/W2119112357","https://openalex.org/W2156186849","https://openalex.org/W2163605009","https://openalex.org/W2164284862","https://openalex.org/W2168809519","https://openalex.org/W2233194383","https://openalex.org/W2283463896","https://openalex.org/W2435473771","https://openalex.org/W2473418344","https://openalex.org/W2520881573","https://openalex.org/W2535690855","https://openalex.org/W2541884796","https://openalex.org/W2561981131","https://openalex.org/W2767079719","https://openalex.org/W2768347741","https://openalex.org/W2781091734","https://openalex.org/W2807006176","https://openalex.org/W2903890850","https://openalex.org/W2913608349","https://openalex.org/W2963456518","https://openalex.org/W2970408908","https://openalex.org/W3030895724","https://openalex.org/W3123057515","https://openalex.org/W4318619660","https://openalex.org/W6604653223","https://openalex.org/W6663928093","https://openalex.org/W6678097026","https://openalex.org/W6684191040","https://openalex.org/W6689691597","https://openalex.org/W6728757088","https://openalex.org/W6746138031","https://openalex.org/W6752029299"],"related_works":["https://openalex.org/W4296973715","https://openalex.org/W2019704260","https://openalex.org/W3080908196","https://openalex.org/W3093310219","https://openalex.org/W4387193529","https://openalex.org/W3101646702","https://openalex.org/W4304208041","https://openalex.org/W3010824232","https://openalex.org/W4212899026","https://openalex.org/W4390570329"],"abstract_inverted_index":{"While":[0],"machine":[1],"learning":[2],"brings":[3],"convenience,":[4],"it":[5],"also":[6],"faces":[7],"the":[8,31,36,55,72,78,82,112,132,138,142,151,155,165,178],"issue":[9],"of":[10,38,134,167],"data":[11,49],"privacy.":[12],"For":[13],"privacy":[14,25,95],"issues,":[15],"most":[16],"researches":[17],"focus":[18],"on":[19,122],"implementing":[20],"homomorphic":[21,135],"encryption":[22],"or":[23],"differential":[24],"to":[26,87],"protect":[27],"data,":[28],"while":[29,154,186],"ignoring":[30],"potential":[32],"threats":[33],"caused":[34],"by":[35,103],"leakage":[37],"model":[39,52],"parameters.":[40,53],"However,":[41],"a":[42,94],"malicious":[43,143],"attacker":[44],"can":[45,157],"still":[46,158],"recover":[47,146],"sensitive":[48],"information":[50,148],"through":[51],"On":[54,71],"one":[56,119],"hand,":[57,74],"traditional":[58],"methods":[59],"cannot":[60,76,145],"take":[61],"both":[62],"high":[63,188],"accuracy":[64],"and":[65,111,116,129],"low":[66],"computation":[67,179],"time":[68,180],"into":[69],"account.":[70],"other":[73],"they":[75],"resist":[77],"reconstruction":[79],"attack":[80],"from":[81],"model's":[83],"parameter.":[84],"In":[85,107],"order":[86],"address":[88],"this":[89,91],"problem,":[90],"paper":[92],"designs":[93],"protection":[96],"framework":[97,120],"named":[98],"FLI,":[99,108,168],"which":[100,125],"is":[101,181],"inspired":[102],"public":[104],"key":[105,127],"infrastructure.":[106],"all":[109],"participants":[110],"server":[113,156],"are":[114],"trained":[115],"aggregated":[117],"under":[118],"based":[121],"federated":[123],"learning,":[124],"includes":[126],"exchange":[128],"shares":[130],"with":[131],"idea":[133],"encryption.":[136],"Under":[137],"algorithm":[139],"we":[140,169],"design,":[141],"adversary":[144],"effective":[147,160],"after":[149],"obtaining":[150],"transformed":[152],"parameters,":[153],"perform":[159],"parameter":[161],"aggregation.":[162],"To":[163],"evaluate":[164],"performance":[166],"conduct":[170],"extensive":[171],"experiments.":[172],"The":[173],"experimental":[174],"results":[175],"show":[176],"that":[177],"within":[182],"an":[183],"acceptable":[184],"range":[185],"ensuring":[187],"accuracy.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}