{"id":"https://openalex.org/W4406753720","doi":"https://doi.org/10.1109/tdsc.2025.3533029","title":"A Proactive Defense Against Model Poisoning Attacks in Federated Learning","display_name":"A Proactive Defense Against Model Poisoning Attacks in Federated Learning","publication_year":2025,"publication_date":"2025-01-23","ids":{"openalex":"https://openalex.org/W4406753720","doi":"https://doi.org/10.1109/tdsc.2025.3533029"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3533029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3533029","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5048417676","display_name":"Haonan Yan","orcid":"https://orcid.org/0000-0002-1784-6091"},"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":"Haonan Yan","raw_affiliation_strings":["Xidian University, Xi&#x2019;an, China","Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0002-1784-6091","affiliations":[{"raw_affiliation_string":"Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengbo Zheng","orcid":"https://orcid.org/0009-0008-1642-9756"},"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":"Chengbo Zheng","raw_affiliation_strings":["Xidian University, Xi&#x2019;an, China","Xidian University, China"],"raw_orcid":"https://orcid.org/0009-0008-1642-9756","affiliations":[{"raw_affiliation_string":"Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428481","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0002-6956-8185"},"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":"Qian Chen","raw_affiliation_strings":["Xidian University, Xi&#x2019;an, China","Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0002-6956-8185","affiliations":[{"raw_affiliation_string":"Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373860","display_name":"Xiaoguang Li","orcid":"https://orcid.org/0000-0002-1839-1607"},"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":"Xiaoguang Li","raw_affiliation_strings":["Xidian University, Xi&#x2019;an, China","Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0002-1839-1607","affiliations":[{"raw_affiliation_string":"Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108156794","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-3790-2708"},"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":"Bin Wang","raw_affiliation_strings":["Xidian University, Xi&#x2019;an, China","Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0002-3790-2708","affiliations":[{"raw_affiliation_string":"Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024453724","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-8310-7169"},"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":"Hui Li","raw_affiliation_strings":["Xidian University, Xi&#x2019;an, China","Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0001-8310-7169","affiliations":[{"raw_affiliation_string":"Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083787204","display_name":"Xiaodong Lin","orcid":"https://orcid.org/0000-0001-8916-6645"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaodong Lin","raw_affiliation_strings":["School of Computer Science, University of Guelph, Guelph, ON, Canada","School of Computer Science, University of Guelph, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8916-6645","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Guelph, Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"School of Computer Science, University of Guelph, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.168,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98004409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":"4","first_page":"3529","last_page":"3543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9927999973297119,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9927999973297119,"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":0.9656000137329102,"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":0.7257940173149109},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6106609106063843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257940173149109},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6106609106063843}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2025.3533029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3533029","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.5400000214576721,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G2495480902","display_name":null,"funder_award_id":"92167203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2672657738","display_name":null,"funder_award_id":"62402373","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3718857384","display_name":"\u9762\u5411\u793e\u4ea4\u5a92\u4f53\u5927\u6570\u636e\u9690\u79c1\u4fdd\u62a4\u548c\u5b89\u5168\u5171\u4eab\u7684\u9690\u79c1\u8ba1\u7b97\u7406\u8bba\u4e0e\u6280\u672f\u7814\u7a76","funder_award_id":"61932015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5111458265","display_name":null,"funder_award_id":"62402363","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G673329116","display_name":null,"funder_award_id":"B16037","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G7230155211","display_name":null,"funder_award_id":"XJSJ24066","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7870043529","display_name":null,"funder_award_id":"2024M764269","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W2112796928","https://openalex.org/W2788816110","https://openalex.org/W2949734902","https://openalex.org/W2962763344","https://openalex.org/W2964043980","https://openalex.org/W3021654819","https://openalex.org/W3100779497","https://openalex.org/W3138153888","https://openalex.org/W3138597937","https://openalex.org/W3153394644","https://openalex.org/W3185987447","https://openalex.org/W3196371845","https://openalex.org/W4206320562","https://openalex.org/W4229455429","https://openalex.org/W4285206772","https://openalex.org/W4288057793","https://openalex.org/W4290948380","https://openalex.org/W6684191040","https://openalex.org/W6728757088","https://openalex.org/W6743821447","https://openalex.org/W6748786018","https://openalex.org/W6752029299","https://openalex.org/W6752600739","https://openalex.org/W6756840679","https://openalex.org/W6758201434","https://openalex.org/W6760825779","https://openalex.org/W6764754176","https://openalex.org/W6770634426","https://openalex.org/W6787972765","https://openalex.org/W6857254359"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Model":[0],"poisoning":[1,22,64,165,195],"attacks":[2,196],"greatly":[3],"jeopardize":[4],"the":[5,19,46,68,90,131,158,167,178,192],"application":[6],"of":[7,13,92,164,169,180,186],"federated":[8],"learning":[9],"(FL).":[10],"The":[11],"effectiveness":[12,160],"existing":[14],"defenses":[15,33],"is":[16],"susceptible":[17],"to":[18,25,36,96,110,129],"latest":[20,193],"model":[21,47,63,147,194],"attacks,":[23,166],"leading":[24],"a":[26,54,83,105],"decrease":[27],"in":[28,71,184],"prediction":[29],"accuracy.":[30,101],"Besides,":[31],"these":[32],"are":[34],"intractable":[35],"distinguish":[37],"benign":[38],"outliers":[39],"from":[40,67],"malicious":[41,93],"gradients,":[42],"which":[43],"further":[44],"compromises":[45],"generalization.":[48],"In":[49],"this":[50],"work,":[51],"we":[52,139],"propose":[53],"novel":[55],"proactive":[56],"defense":[57],"named":[58],"<inline-formula><tex-math":[59,74,142,181],"notation=\"LaTeX\">${\\sf":[60,75,143,182],"RECESS}$</tex-math></inline-formula>":[61,76,144,183],"against":[62,161],"attacks.":[65,174],"Different":[66],"passive":[69],"analysis":[70],"previous":[72,115],"defenses,":[73],"proactively":[77],"queries":[78],"each":[79,119],"participating":[80],"client":[81],"with":[82,99],"delicately":[84],"constructed":[85],"aggregation":[86],"gradient,":[87],"accompanied":[88],"by":[89,191],"detection":[91],"clients":[94],"according":[95],"their":[97],"responses":[98],"higher":[100],"Furthermore,":[102],"RECESS":[103,121],"uses":[104],"new":[106],"trust":[107,132],"scoring":[108],"mechanism":[109],"robustly":[111],"aggregate":[112],"gradients.":[113],"Unlike":[114],"methods":[116],"that":[117],"score":[118],"iteration,":[120],"considers":[122],"clients\u2019":[123],"performance":[124],"correlation":[125],"across":[126],"multiple":[127],"iterations":[128],"estimate":[130],"score,":[133],"substantially":[134],"increasing":[135],"fault":[136],"tolerance.":[137],"Finally,":[138],"extensively":[140],"evaluate":[141],"on":[145],"typical":[146],"architectures":[148],"and":[149,171,200],"four":[150],"datasets":[151],"under":[152],"various":[153],"settings.":[154],"We":[155],"also":[156],"evaluated":[157],"defensive":[159],"other":[162],"types":[163],"sensitivity":[168],"hyperparameters,":[170],"adaptive":[172],"adversarial":[173],"Experimental":[175],"results":[176],"show":[177],"superiority":[179],"terms":[185],"reducing":[187],"accuracy":[188],"loss":[189],"caused":[190],"over":[197],"five":[198],"classic":[199],"two":[201],"state-of-the-art":[202],"defenses.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}