{"id":"https://openalex.org/W7123356911","doi":"https://doi.org/10.1109/cdc57313.2025.11312719","title":"On Model Protection in Federated Learning against Eavesdropping Attacks","display_name":"On Model Protection in Federated Learning against Eavesdropping Attacks","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W7123356911","doi":"https://doi.org/10.1109/cdc57313.2025.11312719"},"language":null,"primary_location":{"id":"doi:10.1109/cdc57313.2025.11312719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","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/A5090451555","display_name":"Dipankar Maity","orcid":"https://orcid.org/0000-0002-7745-9405"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dipankar Maity","raw_affiliation_strings":["University of North Carolina,Department of Electrical and Computer Engineering,Charlotte,NC,USA,28223"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina,Department of Electrical and Computer Engineering,Charlotte,NC,USA,28223","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117230921","display_name":"Kushal Chakrabarti","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kushal Chakrabarti","raw_affiliation_strings":["Data and Decision Sciences Division of Tata Consultancy Services Research,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data and Decision Sciences Division of Tata Consultancy Services Research,Mumbai,India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2763,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96025528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8003","last_page":"8008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7444000244140625,"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":0.7444000244140625,"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":0.20080000162124634,"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":0.00839999970048666,"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/eavesdropping","display_name":"Eavesdropping","score":0.9264000058174133},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8774999976158142},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6366000175476074},{"id":"https://openalex.org/keywords/safeguarding","display_name":"Safeguarding","score":0.6238999962806702},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5514000058174133},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.40310001373291016},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.39739999175071716},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.38429999351501465}],"concepts":[{"id":"https://openalex.org/C2776788033","wikidata":"https://www.wikidata.org/wiki/Q320769","display_name":"Eavesdropping","level":2,"score":0.9264000058174133},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8774999976158142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813000082969666},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6366000175476074},{"id":"https://openalex.org/C2776743756","wikidata":"https://www.wikidata.org/wiki/Q5097921","display_name":"Safeguarding","level":2,"score":0.6238999962806702},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5961999893188477},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5514000058174133},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C69360830","wikidata":"https://www.wikidata.org/wiki/Q1172237","display_name":"Data Protection Act 1998","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C7606001","wikidata":"https://www.wikidata.org/wiki/Q4686702","display_name":"Adversary model","level":3,"score":0.3138999938964844},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C168297262","wikidata":"https://www.wikidata.org/wiki/Q6031182","display_name":"Information protection policy","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc57313.2025.11312719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6301066279411316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2535690855","https://openalex.org/W2916583047","https://openalex.org/W2930926105","https://openalex.org/W2962834492","https://openalex.org/W3016632787","https://openalex.org/W3111919937","https://openalex.org/W3212145086","https://openalex.org/W4285555619","https://openalex.org/W4309080560","https://openalex.org/W4312869277","https://openalex.org/W4413393251","https://openalex.org/W7076053635","https://openalex.org/W7123356911"],"related_works":[],"abstract_inverted_index":{"In":[0,15],"this":[1,132],"study,":[2],"we":[3,66,118],"investigate":[4],"the":[5,18,30,40,58,72,77,86,89,92,106,110,115],"protection":[6,107],"offered":[7],"by":[8,108,114],"Federated":[9],"Learning":[10],"algorithms":[11],"against":[12],"eavesdropping":[13],"adversaries.":[14],"our":[16,52,100,120],"model,":[17],"adversary":[19],"is":[20],"capable":[21],"of":[22,39,74,79,95],"intercepting":[23],"model":[24,60,111],"updates":[25],"transmitted":[26],"from":[27],"clients":[28],"to":[29,34,56],"server,":[31,87],"enabling":[32],"it":[33],"create":[35],"its":[36],"own":[37],"estimate":[38],"model.":[41],"Unlike":[42],"previous":[43],"research,":[44],"which":[45],"predominantly":[46],"focuses":[47],"on":[48,125],"safeguarding":[49],"client":[50,59,75],"data,":[51],"work":[53],"shifts":[54],"attention":[55],"protecting":[57],"itself.":[61],"Through":[62],"a":[63],"theoretical":[64],"analysis,":[65],"examine":[67],"how":[68],"various":[69],"factors\u2014such":[70],"as":[71],"probability":[73],"selection,":[76],"structure":[78],"local":[80],"objective":[81],"functions,":[82],"global":[83],"aggregation":[84],"at":[85],"and":[88],"eavesdropper\u2019s":[90],"capabilities\u2014impact":[91],"overall":[93],"level":[94],"protection.":[96],"We":[97],"further":[98],"validate":[99],"findings":[101],"through":[102],"numerical":[103],"experiments,":[104],"assessing":[105],"evaluating":[109],"accuracy":[112],"achieved":[113],"adversary.":[116],"Finally,":[117],"compare":[119],"results":[121],"with":[122],"methods":[123],"based":[124],"differential":[126],"privacy,":[127],"underscoring":[128],"their":[129],"limitations":[130],"in":[131],"specific":[133],"context.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}