{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T20:15:50Z","timestamp":1778271350977,"version":"3.51.4"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Commun. Lett."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/lcomm.2026.3685107","type":"journal-article","created":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T19:53:14Z","timestamp":1776455594000},"page":"1836-1840","source":"Crossref","is-referenced-by-count":0,"title":["Learning to Evade: Adaptive and Stealthy Attack on Reputation-Based Federated Learning"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-9428-333X","authenticated-orcid":false,"given":"Xining","family":"Liu","sequence":"first","affiliation":[{"name":"College of Electronics and Information Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2706-6208","authenticated-orcid":false,"given":"Erwu","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4933-594X","authenticated-orcid":false,"given":"Wei","family":"Ni","sequence":"additional","affiliation":[{"name":"School of Engineering, Edith Cowan University, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3081-5215","authenticated-orcid":false,"given":"Hanfu","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0584-5566","authenticated-orcid":false,"given":"Zhongxiang","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5932-6887","authenticated-orcid":false,"given":"Ekram","family":"Hossain","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2024.3450605"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2025.3556462"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC65529.2025.11148660"},{"key":"ref5","first-page":"8632","article-title":"A little is enough: Circumventing defenses for distributed learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Baruch"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.01440"},{"key":"ref7","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Blanchard"},{"key":"ref8","article-title":"Byzantine-robust distributed learning: The case of adversarial gradients","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i19.30181"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW67362.2025.00165"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/106"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2023.108900"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3567355"},{"key":"ref14","first-page":"1","article-title":"Attacks against federated learning defense systems and their mitigation","volume":"24","author":"Lewis","year":"2023","journal-title":"J. Mach. Learn. Res."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2537"},{"key":"ref16","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2024.103024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2025.3585653"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.14525"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref22","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Communications Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4234\/11301808\/11483089.pdf?arnumber=11483089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T19:40:00Z","timestamp":1778269200000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11483089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/lcomm.2026.3685107","relation":{},"ISSN":["1089-7798","1558-2558","2373-7891"],"issn-type":[{"value":"1089-7798","type":"print"},{"value":"1558-2558","type":"electronic"},{"value":"2373-7891","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}