{"id":"https://openalex.org/W4224918093","doi":"https://doi.org/10.1109/icassp43922.2022.9747653","title":"Against Backdoor Attacks In Federated Learning With Differential Privacy","display_name":"Against Backdoor Attacks In Federated Learning With Differential Privacy","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224918093","doi":"https://doi.org/10.1109/icassp43922.2022.9747653"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747653","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100348920","display_name":"Miao Lu","orcid":"https://orcid.org/0000-0003-3795-0811"},"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":"Lu Miao","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of 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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783998","display_name":"Rong Hu","orcid":"https://orcid.org/0000-0002-6056-0785"},"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":"Rong Hu","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658678","display_name":"Li L\u00fc","orcid":"https://orcid.org/0000-0001-5230-3749"},"institutions":[{"id":"https://openalex.org/I4210141689","display_name":"Yancheng Teachers University","ror":"https://ror.org/042k5fe81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141689"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Li","raw_affiliation_strings":["Yancheng Teachers University,School of Information Engineering","School of Information Engineering, Yancheng Teachers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yancheng Teachers University,School of Information Engineering","institution_ids":["https://openalex.org/I4210141689"]},{"raw_affiliation_string":"School of Information Engineering, Yancheng Teachers University","institution_ids":["https://openalex.org/I4210141689"]}]},{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2999","last_page":"3003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9929999709129333,"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":0.9642000198364258,"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/backdoor","display_name":"Backdoor","score":0.9968079328536987},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8213390111923218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753387987613678},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6232982873916626},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5932671427726746},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5287712812423706},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5022218227386475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33311963081359863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24625197052955627},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08522185683250427}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9968079328536987},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8213390111923218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753387987613678},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6232982873916626},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5932671427726746},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5287712812423706},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5022218227386475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33311963081359863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24625197052955627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08522185683250427},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747653","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W190008395","https://openalex.org/W2096870293","https://openalex.org/W2194775991","https://openalex.org/W2473418344","https://openalex.org/W2535838896","https://openalex.org/W2734358244","https://openalex.org/W2752689052","https://openalex.org/W2753783305","https://openalex.org/W2784621220","https://openalex.org/W2789911054","https://openalex.org/W2807363941","https://openalex.org/W2810065831","https://openalex.org/W2934843808","https://openalex.org/W2963888996","https://openalex.org/W2990595670","https://openalex.org/W3084415909","https://openalex.org/W3118608800","https://openalex.org/W4297687186","https://openalex.org/W4298221930","https://openalex.org/W4318619660","https://openalex.org/W6607826182","https://openalex.org/W6728757088","https://openalex.org/W6739088070","https://openalex.org/W6743821447","https://openalex.org/W6746720608","https://openalex.org/W6747855403","https://openalex.org/W6748786018","https://openalex.org/W6752600739","https://openalex.org/W6758947373","https://openalex.org/W6782794873","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4320031223","https://openalex.org/W4200629851","https://openalex.org/W4281902577","https://openalex.org/W4309417370","https://openalex.org/W4292107232","https://openalex.org/W3009072493","https://openalex.org/W4386080799","https://openalex.org/W3140988292","https://openalex.org/W4317672133","https://openalex.org/W4401407399"],"abstract_inverted_index":{"The":[0],"training":[1,88],"process":[2],"of":[3,36,82,97,122,156],"federated":[4],"learning":[5],"is":[6],"known":[7],"to":[8,11,27,62,107],"be":[9,25],"vulnerable":[10],"adversarial":[12],"attacks":[13,69],"(e.g.,":[14],"backdoor":[15,30,68,129],"attack).":[16],"Previous":[17],"works":[18],"showed":[19],"that":[20,115,135],"differential":[21,55],"privacy":[22],"(DP)":[23],"can":[24,117],"used":[26],"defend":[28],"against":[29,67,128],"attacks,":[31],"yet":[32],"at":[33],"the":[34,74,79,86,95,103,108,120,123,142,147],"cost":[35],"vastly":[37],"losing":[38],"model":[39,83,110],"utility.":[40],"To":[41],"address":[42],"this":[43,47],"issue,":[44],"we":[45],"in":[46,152],"paper":[48],"propose":[49],"a":[50,153],"defense":[51,140],"method":[52,137],"based":[53],"on":[54],"privacy,":[56],"called":[57],"Clip":[58],"Norm":[59],"Decay":[60],"(CND),":[61],"maintain":[63],"utility":[64],"when":[65,126],"defending":[66,127],"with":[70],"DP.":[71],"CND":[72,116],"reduces":[73],"injected":[75],"noise":[76],"by":[77,100],"decreasing":[78],"clipping":[80],"threshold":[81],"updates":[84,99],"through":[85],"whole":[87],"process.":[89],"In":[90],"particular,":[91],"our":[92,136],"algorithm":[93],"bounds":[94],"norm":[96],"malicious":[98],"adaptively":[101],"setting":[102],"appropriate":[104],"thresholds":[105],"according":[106],"current":[109],"updates.":[111],"Empirical":[112],"results":[113],"show":[114],"substantially":[118],"enhance":[119],"accuracy":[121],"main":[124],"task":[125],"attacks.":[130],"Moreover,":[131],"extensive":[132],"experiments":[133],"demonstrate":[134],"performs":[138],"better":[139],"than":[141],"original":[143],"DP,":[144],"further":[145],"reducing":[146],"attack":[148],"success":[149],"rate,":[150],"even":[151],"strong":[154],"assumption":[155],"threat":[157],"model.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
