{"id":"https://openalex.org/W7084068179","doi":"https://doi.org/10.1109/icc52391.2025.11161449","title":"Guided by Noise: Vulnerable Poisoning Attack to Differentially Private Federated Learning","display_name":"Guided by Noise: Vulnerable Poisoning Attack to Differentially Private Federated Learning","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W7084068179","doi":"https://doi.org/10.1109/icc52391.2025.11161449"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":null,"display_name":"Siqi Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siqi Dai","raw_affiliation_strings":["University of Florida,ECE Department,Gainesville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,ECE Department,Gainesville,USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaodan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I106969075","display_name":"Idaho State University","ror":"https://ror.org/0162z8b04","country_code":"US","type":"education","lineage":["https://openalex.org/I106969075"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaodan Hu","raw_affiliation_strings":["Idaho State University,ECE Department,Pocatello,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idaho State University,ECE Department,Pocatello,USA","institution_ids":["https://openalex.org/I106969075"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Honggang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Honggang Yu","raw_affiliation_strings":["University of Florida,ECE Department,Gainesville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,ECE Department,Gainesville,USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hanqiu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanqiu Wang","raw_affiliation_strings":["University of Florida,ECE Department,Gainesville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,ECE Department,Gainesville,USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shuo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuo Wang","raw_affiliation_strings":["University of Florida,ECE Department,Gainesville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,ECE Department,Gainesville,USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63770829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4896","last_page":"4902"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12878","display_name":"Pharmaceutical Quality and Counterfeiting","score":0.21050000190734863,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12878","display_name":"Pharmaceutical Quality and Counterfeiting","score":0.21050000190734863,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.1784999966621399,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12962","display_name":"Nephrotoxicity and Medicinal Plants","score":0.11180000007152557,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7735000252723694},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7379999756813049},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.5329999923706055},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5281999707221985},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5246999859809875},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.38420000672340393},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.38029998540878296}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7735000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530999779701233},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7379999756813049},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5938000082969666},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.5329999923706055},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5281999707221985},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5246999859809875},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.3617999851703644},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.43799224495887756}],"awards":[{"id":"https://openalex.org/G3319738636","display_name":null,"funder_award_id":"2028897,2019283","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2473418344","https://openalex.org/W2559840118","https://openalex.org/W2801922753","https://openalex.org/W2930926105","https://openalex.org/W2964138696","https://openalex.org/W3008145398","https://openalex.org/W3100779497","https://openalex.org/W3109695251","https://openalex.org/W3126700118","https://openalex.org/W3168784243","https://openalex.org/W3182125009","https://openalex.org/W3189812816","https://openalex.org/W3200256144","https://openalex.org/W4229455429","https://openalex.org/W4281398987","https://openalex.org/W4290948380","https://openalex.org/W4300991139","https://openalex.org/W4320481068","https://openalex.org/W4404437806"],"related_works":[],"abstract_inverted_index":{"Distributed":[0],"Federated":[1],"Learning":[2],"(FL)":[3],"enables":[4],"client":[5,46],"models":[6],"to":[7,44,117,180],"communicate":[8],"with":[9],"the":[10,32,37,64,86,93,126,133,147,156,165,187],"central":[11,17,38,127],"server":[12],"and":[13,36,61,211],"collaboratively":[14],"train":[15],"a":[16],"model":[18,143],"while":[19,124,186],"keeping":[20],"individual":[21],"datasets":[22],"localized.":[23],"Despite":[24],"its":[25,82],"advantages,":[26],"recent":[27],"research":[28],"highlights":[29],"vulnerabilities":[30],"in":[31,75],"communication":[33],"between":[34],"clients":[35,116],"server,":[39],"which":[40],"attackers":[41],"can":[42,177],"exploit":[43],"compromise":[45],"privacy.":[47],"To":[48],"protect":[49],"clients'":[50],"privacy":[51,56],"against":[52],"such":[53,111],"attacks,":[54,121],"differential":[55],"(DP)":[57],"is":[58],"widely":[59,205],"adopted":[60],"implemented":[62],"during":[63,98],"stochastic":[65],"gradient":[66],"descent":[67],"(SGD)":[68],"stage.":[69],"While":[70],"DP-SGD":[71],"has":[72],"shown":[73],"efficacy":[74],"previous":[76],"studies,":[77],"our":[78,130,168],"analysis":[79],"reveals":[80],"that":[81],"implementation":[83],"inadvertently":[84],"disperses":[85],"distribution":[87],"of":[88,95,136,159,167,189],"data":[89,215],"features.":[90],"This":[91],"necessitates":[92],"relaxation":[94],"alert":[96],"thresholds":[97],"weight":[99],"verification,":[100],"introducing":[101],"unforeseen":[102],"security":[103],"risks.":[104],"In":[105],"this":[106],"work,":[107],"we":[108,153],"demonstrate":[109],"how":[110],"relaxed":[112],"criteria":[113],"allow":[114],"malicious":[115],"execute":[118],"stealthy":[119],"targeted":[120,160],"evading":[122],"detection":[123],"corrupting":[125],"model.":[128],"Specifically,":[129],"attack":[131,199],"degrades":[132],"classification":[134,157],"accuracy":[135,158,176,188],"selected":[137],"classes":[138,191],"without":[139],"significantly":[140],"impacting":[141],"overall":[142],"performance.":[144],"By":[145],"leveraging":[146],"distortions":[148],"introduced":[149],"by":[150,193],"DP":[151],"noise,":[152],"precisely":[154],"undermine":[155],"classes.":[161],"Experimental":[162],"evaluations":[163],"validate":[164],"effectiveness":[166],"approach,":[169],"achieving":[170],"high":[171],"success":[172],"rates.":[173],"Targeted":[174],"class":[175],"be":[178],"reduced":[179],"as":[181,183],"low":[182],"35":[184],"%,":[185],"non-targeted":[190],"declines":[192],"less":[194],"than":[195],"1":[196],"%.":[197],"Our":[198],"exhibits":[200],"exceptional":[201],"stealth,":[202],"successfully":[203],"bypassing":[204],"used":[206],"defenses,":[207],"even":[208],"under":[209],"independent":[210],"identically":[212],"distributed":[213],"(i.i.d.)":[214],"scenarios.":[216]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
