{"id":"https://openalex.org/W7140284354","doi":"https://doi.org/10.1109/tetci.2026.3670862","title":"Privacy-Preserving Against Gradients Leakage Attacks via Joint Differential Privacy in Federated Learning","display_name":"Privacy-Preserving Against Gradients Leakage Attacks via Joint Differential Privacy in Federated Learning","publication_year":2026,"publication_date":"2026-03-25","ids":{"openalex":"https://openalex.org/W7140284354","doi":"https://doi.org/10.1109/tetci.2026.3670862"},"language":null,"primary_location":{"id":"doi:10.1109/tetci.2026.3670862","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tetci.2026.3670862","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tetci.2026.3670862","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yu Yang","orcid":"https://orcid.org/0009-0008-3492-3790"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["School of Computer Science and Engineering (School of Cybersecurity), University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0008-3492-3790","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (School of Cybersecurity), University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianping Li","orcid":"https://orcid.org/0000-0003-2192-1450"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Li","raw_affiliation_strings":["School of Computer Science and Engineering (School of Cybersecurity), University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2192-1450","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (School of Cybersecurity), University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130562441","display_name":"Xunyu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunyu Zhang","raw_affiliation_strings":["School of Software Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0007-5911-5805","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"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":0.31410902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"3","first_page":"2456","last_page":"2470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9417999982833862,"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":0.9417999982833862,"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":0.027699999511241913,"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":0.004600000102072954,"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/leakage","display_name":"Leakage (economics)","score":0.6269999742507935},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6043999791145325},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5425999760627747},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4788999855518341},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.421999990940094},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.39579999446868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725999712944031},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.6269999742507935},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6043999791145325},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4959000051021576},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32429999113082886},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2026.3670862","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tetci.2026.3670862","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tetci.2026.3670862","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tetci.2026.3670862","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"avoids":[3],"direct":[4],"data":[5,48],"sharing":[6],"by":[7],"exchanging":[8],"gradients,":[9],"yet":[10],"gradient":[11,91],"leakage":[12,131],"attacks":[13,132],"can":[14],"still":[15],"reconstruct":[16],"training":[17],"samples":[18],"and":[19,24,38,49,84,96,100,118,139,149,161,177,186],"labels,":[20],"particularly":[21],"for":[22,45,88],"neighbourhood-aware":[23],"continuously":[25],"generated":[26,47],"data.":[27],"Existing":[28],"differential":[29,68,74],"privacy":[30,44,51,69,105,109,146,159,175],"(DP)":[31],"defences":[32],"often":[33],"incur":[34],"substantial":[35],"utility":[36],"loss":[37],"do":[39],"not":[40],"simultaneously":[41],"address":[42],"record-level":[43],"continually":[46],"user-level":[50],"across":[52],"participants.":[53],"To":[54],"bridge":[55],"this":[56],"gap,":[57],"we":[58],"propose":[59],"Joint-DP-FL,":[60],"a":[61,135],"privacy-preserving":[62],"FL":[63],"framework":[64],"that":[65,122,140],"integrates":[66],"joint":[67],"with":[70,104],"three":[71],"components:":[72],"neighbourhood":[73,82],"privacy,":[75],"which":[76],"groups":[77],"semantically":[78],"related":[79],"records":[80],"into":[81],"domains":[83],"enables":[85],"privacy-budget":[86],"reuse":[87,143],"continuous":[89],"data;":[90],"clipping":[92,187],"to":[93,107,183],"bound":[94],"sensitivity":[95],"suppress":[97],"abnormal":[98],"updates;":[99],"Gaussian":[101],"noise":[102,184],"injection":[103],"accounting":[106],"provide":[108],"guarantees":[110],"at":[111],"multiple":[112,116],"granularities.":[113],"Experiments":[114],"on":[115,158],"models":[117],"image":[119],"datasets":[120],"show":[121],"Joint-DP-FL":[123],"reduces":[124],"the":[125,153,178],"success":[126],"rate":[127],"of":[128,155],"representative":[129],"gradient-based":[130],"while":[133],"maintaining":[134],"favourable":[136],"privacy-utility":[137],"trade-off,":[138],"neighbourhood-based":[141],"budget":[142],"further":[144],"lowers":[145],"consumption.":[147],"Ablation":[148],"comparative":[150],"studies":[151],"illustrate":[152],"effect":[154],"each":[156],"component":[157],"protection":[160],"downstream":[162],"task":[163],"accuracy.":[164],"Despite":[165],"these":[166],"gains,":[167],"DP":[168],"inevitably":[169],"introduces":[170],"performance":[171],"degradation":[172],"under":[173],"strict":[174],"constraints,":[176],"overall":[179],"trade-off":[180],"remains":[181],"sensitive":[182],"calibration":[185],"thresholds.":[188]},"counts_by_year":[],"updated_date":"2026-05-29T06:17:43.578629","created_date":"2026-03-26T00:00:00"}