{"id":"https://openalex.org/W4414359649","doi":"https://doi.org/10.24963/ijcai.2025/670","title":"Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach","display_name":"Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359649","doi":"https://doi.org/10.24963/ijcai.2025/670"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/670","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Huazi Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Huazi Pan","raw_affiliation_strings":["Deakin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449630","display_name":"Yanjun Zhang","orcid":"https://orcid.org/0000-0001-5611-3483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yanjun Zhang","raw_affiliation_strings":["University of Technology Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015011245","display_name":"Leo Yu Zhang","orcid":"https://orcid.org/0000-0001-9330-2662"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Leo Yu Zhang","raw_affiliation_strings":["Griffith University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051390386","display_name":"Scott Adams","orcid":"https://orcid.org/0000-0001-6466-0444"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Scott Adams","raw_affiliation_strings":["Deakin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088007702","display_name":"Abbas Z. Kouzani","orcid":"https://orcid.org/0000-0002-6292-1214"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abbas Kouzani","raw_affiliation_strings":["Deakin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081405027","display_name":"Suiyang Khoo","orcid":"https://orcid.org/0000-0003-0455-2710"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Suiyang Khoo","raw_affiliation_strings":["Deakin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12194869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6021","last_page":"6029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9907000064849854,"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":0.9907000064849854,"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":0.9868000149726868,"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":0.980400025844574,"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/convergence","display_name":"Convergence (economics)","score":0.6049000024795532},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5407000184059143},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5336999893188477},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5117999911308289},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.49050000309944153},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3531000018119812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748999953269958},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6049000024795532},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5407000184059143},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.49050000309944153},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.44029998779296875},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3531000018119812},{"id":"https://openalex.org/C36662352","wikidata":"https://www.wikidata.org/wiki/Q6008560","display_name":"Sliding mode control","level":3,"score":0.3230000138282776},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29660001397132874},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2567000091075897},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2025/670","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/30292741","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/30292741","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Manipulation":[0],"of":[1,21,66,132,149,178],"local":[2,6,34],"training":[3],"data":[4],"and":[5,123,180],"updates,":[7],"i.e.,":[8],"the":[9,13,18,22,64,104,111,128,138,142,146,150],"poisoning":[10,29,67,99],"attack,":[11],"is":[12],"main":[14],"threat":[15],"arising":[16],"from":[17,106],"collaborative":[19],"nature":[20],"federated":[23],"learning":[24,182],"(FL)":[25],"paradigm.":[26],"Most":[27],"existing":[28],"attacks":[30],"aim":[31],"to":[32,109,144,153],"manipulate":[33,103],"data/models":[35],"in":[36,68],"a":[37,49,69,76,115,121,165,175],"way":[38],"that":[39,160],"causes":[40],"denial-of-service":[41],"(DoS)":[42],"issues.":[43],"In":[44],"this":[45,119],"paper,":[46],"we":[47],"introduce":[48],"novel":[50],"attack":[51],"method,":[52],"named":[53],"Federated":[54],"Learning":[55],"Sliding":[56],"Attack":[57],"(FedSA)":[58],"scheme,":[59],"aiming":[60],"at":[61,120],"precisely":[62],"introducing":[63],"extent":[65],"subtle":[70],"controlled":[71,122],"manner.":[72],"It":[73,101],"operates":[74],"with":[75,97,169],"predefined":[77,166],"objective,":[78],"such":[79],"as":[80],"reducing":[81],"global":[82,112,147,167],"model's":[83],"prediction":[84],"accuracy":[85,148,168],"by":[86],"10%.":[87],"FedSA":[88,133,161],"integrates":[89],"robust":[90,129],"nonlinear":[91],"control-Sliding":[92],"Mode":[93],"Control":[94],"(SMC)":[95],"theory":[96],"model":[98,113,152],"attacks.":[100],"can":[102,162],"updates":[105],"malicious":[107,171],"clients":[108,172],"drive":[110],"towards":[114],"compromised":[116],"state,":[117],"achieving":[118],"inconspicuous":[124],"rate.":[125],"Additionally,":[126],"leveraging":[127],"control":[130,136],"properties":[131],"allows":[134],"precise":[135],"over":[137],"convergence":[139],"bounds,":[140],"enabling":[141],"attacker":[143],"set":[145],"poisoned":[151],"any":[154],"desired":[155],"level.":[156],"Experimental":[157],"results":[158],"demonstrate":[159],"accurately":[163],"achieve":[164],"fewer":[170],"while":[173],"maintaining":[174],"high":[176],"level":[177],"stealth":[179],"adjustable":[181],"rates.":[183]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
