{"id":"https://openalex.org/W4413556881","doi":"https://doi.org/10.1109/jiot.2025.3602453","title":"SurroFL: Sketch-Based Defense Against Poisoning in Privacy-Preserving Federated Learning","display_name":"SurroFL: Sketch-Based Defense Against Poisoning in Privacy-Preserving Federated Learning","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4413556881","doi":"https://doi.org/10.1109/jiot.2025.3602453"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3602453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3602453","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Internet of Things Journal","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/A5063534836","display_name":"Yuyang Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Kuang","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001561319","display_name":"Weinan Liu","orcid":"https://orcid.org/0000-0002-7485-5795"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weinan Liu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010680816","display_name":"Longbo Han","orcid":"https://orcid.org/0000-0001-5122-8468"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longbo Han","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-5122-8468","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090401359","display_name":"J Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindong Huang","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0004-3582-4648","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Cao","orcid":"https://orcid.org/0009-0000-1038-5029"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cao","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0000-1038-5029","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074555473","display_name":"Lin You","orcid":"https://orcid.org/0000-0003-2049-8961"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin You","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2049-8961","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":0.10243128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"23","first_page":"49417","last_page":"49430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9921000003814697,"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":0.840758740901947},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.8389357328414917},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.628098726272583},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5207040905952454},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.4843205511569977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840758740901947},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8389357328414917},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.628098726272583},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5207040905952454},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.4843205511569977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3602453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3602453","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G4604599849","display_name":null,"funder_award_id":"61772166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2012833704","https://openalex.org/W2535690855","https://openalex.org/W2591882872","https://openalex.org/W2768174108","https://openalex.org/W2963540401","https://openalex.org/W3030742901","https://openalex.org/W3138153888","https://openalex.org/W3138597937","https://openalex.org/W3198262235","https://openalex.org/W3200805806","https://openalex.org/W3203503583","https://openalex.org/W3211856354","https://openalex.org/W4226047321","https://openalex.org/W4226249052","https://openalex.org/W4229455429","https://openalex.org/W4290948380","https://openalex.org/W4312996082","https://openalex.org/W4323793447","https://openalex.org/W4385255201","https://openalex.org/W4386702599","https://openalex.org/W4388819941","https://openalex.org/W4388858471","https://openalex.org/W4389352577","https://openalex.org/W4395017388","https://openalex.org/W4399374631","https://openalex.org/W4403390450","https://openalex.org/W4403534272","https://openalex.org/W4403722520","https://openalex.org/W4404633002","https://openalex.org/W4406524134","https://openalex.org/W4410950197","https://openalex.org/W4411409004","https://openalex.org/W4413146189"],"related_works":["https://openalex.org/W3022534164","https://openalex.org/W4403547452","https://openalex.org/W4396832952","https://openalex.org/W3046095319","https://openalex.org/W3197497514","https://openalex.org/W1591172238","https://openalex.org/W2111194702","https://openalex.org/W2972172135","https://openalex.org/W1787552957","https://openalex.org/W4300474583"],"abstract_inverted_index":{"In":[0,122],"privacy-preserving":[1,83],"federated":[2,63,84,215],"learning":[3,64,85,216],"(PPFL),":[4],"the":[5,13,16,22,26,30,49,52,57,60,68,91,96,103,106,110,116,126,133,146,156,162,167,177,193,200,203,213],"local":[6],"gradient":[7],"updates":[8],"are":[9],"encrypted":[10,107],"to":[11,88,101,131,143],"protect":[12],"privacy":[14,37,71],"of":[15,25,44,62,105,112,190],"clients.":[17],"However,":[18],"this":[19],"opacity":[20],"hinders":[21],"effective":[23],"detection":[24,111],"poisoning":[27,92,169],"attacks.":[28,93],"Although":[29],"existing":[31,178],"defense":[32,74],"methods":[33],"can":[34],"offer":[35],"robust":[36,80],"guarantees,":[38],"they":[39],"often":[40],"require":[41],"additional":[42],"rounds":[43],"interaction,":[45],"which":[46],"significantly":[47],"increase":[48],"computational":[50,201],"and":[51,59,73,81,136,166,183,202],"communication":[53,204],"overhead,":[54,205],"thereby":[55],"limiting":[56],"practicality":[58],"scalability":[61],"deployments.":[65],"To":[66],"address":[67],"trade-off":[69],"between":[70],"protection":[72],"efficiency,":[75],"we":[76],"propose":[77],"SurroFL,":[78],"a":[79,138],"efficient":[82],"framework":[86],"designed":[87],"defend":[89],"against":[90],"SurroFL":[94,124,174,186],"uses":[95],"locality":[97],"sensitive":[98],"hashing":[99],"(LSH)":[100],"generate":[102],"sketches":[104],"gradients,":[108],"enabling":[109],"malicious":[113,147],"behaviors":[114],"in":[115,180,192,212],"plaintext":[117],"domain":[118],"without":[119],"compromising":[120],"privacy.":[121],"addition,":[123],"adopts":[125],"sparse":[127],"batch":[128],"encryption":[129,134],"strategy":[130],"reduce":[132],"overhead":[135],"incorporates":[137],"dynamic":[139],"reputation-based":[140],"scoring":[141],"mechanism":[142],"adaptively":[144],"suppress":[145],"clients":[148],"over":[149],"time.":[150],"Our":[151],"extensive":[152],"experiments,":[153],"conducted":[154],"under":[155],"IID":[157],"data":[158],"partition":[159],"setting":[160],"on":[161],"multiple":[163],"benchmark":[164],"datasets":[165],"various":[168],"attack":[170],"scenarios,":[171],"demonstrate":[172],"that":[173],"consistently":[175],"outperforms":[176],"approaches":[179],"both":[181,199],"robustness":[182],"efficiency.":[184],"Notably,":[185],"achieves":[187],"an":[188],"improvement":[189],"20%-70%":[191],"model":[194],"accuracy":[195],"while":[196],"substantially":[197],"reducing":[198],"making":[206],"it":[207],"highly":[208],"suitable":[209],"for":[210],"deployment":[211],"resource-constrained":[214],"environments.":[217]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}