{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:32:28Z","timestamp":1772206348228,"version":"3.50.1"},"reference-count":40,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372100"],"award-info":[{"award-number":["62372100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62301307"],"award-info":[{"award-number":["62301307"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013285","name":"Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013285","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["23XD1420100"],"award-info":[{"award-number":["23XD1420100"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Pujiang Programme","award":["23PJD041"],"award-info":[{"award-number":["23PJD041"]}]},{"name":"Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission","award":["23CGA60"],"award-info":[{"award-number":["23CGA60"]}]},{"DOI":"10.13039\/501100004894","name":"AI-Enhanced Research Program of Shanghai Municipal Education Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004894","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Commun. Netw."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tccn.2025.3564476","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T13:41:54Z","timestamp":1745588514000},"page":"545-558","source":"Crossref","is-referenced-by-count":3,"title":["Mitigating Poisoning Attacks in Federated Learning Through Deep One-Class Classification"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3602-7443","authenticated-orcid":false,"given":"Anqi","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Information Science and Technology and the Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, Donghua University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0907-9926","authenticated-orcid":false,"given":"Ping","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology and the Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, Donghua University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6753-4061","authenticated-orcid":false,"given":"Wenke","family":"Lu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology and the Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, Donghua University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1533-0865","authenticated-orcid":false,"given":"Yipeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computing and Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2007-6478","authenticated-orcid":false,"given":"Wenqian","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology and the Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, Donghua University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4095-6843","authenticated-orcid":false,"given":"Guanglin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology and the Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, Donghua University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3196274"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2023.3325815"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3108434"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3249568"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20903"},{"key":"ref6","first-page":"508","article-title":"AUROR: Defending against poisoning attacks in collaborative deep learning systems","volume-title":"Proc. 32nd Annu. Conf. Comput. Security Appl.","author":"Shen"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3153135"},{"key":"ref8","first-page":"5636","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Dong"},{"key":"ref9","first-page":"3521","article-title":"The hidden vulnerability of distributed learning in byzantium","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Mhamdi"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3243003"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2023.3316643"},{"key":"ref12","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Blanchard"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/670"},{"key":"ref14","article-title":"Mitigating sybils in federated learning poisoning","author":"Fung","year":"2018","journal-title":"arXiv:1808.04866"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24434"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2021.3093711"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.2986205"},{"key":"ref19","article-title":"Zeno: Byzantine-suspicious stochastic gradient descent","author":"Xie","year":"2018","journal-title":"arXiv:1805.10032"},{"key":"ref20","article-title":"FedCom: A Byzantine-robust local model aggregation rule using data commitment for federated learning","author":"Zhao","year":"2021","journal-title":"arXiv:2104.08020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24498"},{"key":"ref22","first-page":"1","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00383"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SP46215.2023.10179336"},{"key":"ref25","article-title":"How to backdoor federated learning","author":"Bagdasaryan","year":"2018","journal-title":"arXiv:1807.00459"},{"key":"ref26","first-page":"1","article-title":"DBA: Distributed backdoor attacks against federated learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xie"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3116431"},{"key":"ref28","first-page":"4393","article-title":"Deep one-class classification","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","volume":"80","author":"Ruff"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539231"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3169918"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207209"},{"key":"ref32","volume-title":"Federated learning: Collaborative machine learning without centralized training data.","year":"2017"},{"key":"ref33","first-page":"1","article-title":"Optimizing server-side aggregation for robust federated learning via subspace training","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xie"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2023.23171"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","first-page":"1623","article-title":"Local model poisoning attacks to Byzantine-robust federated learning","volume-title":"Proc. 29th USENIX Conf. Secur. Symp.","author":"Fang"},{"key":"ref37","first-page":"1","article-title":"FLIP: A provable defense framework for backdoor mitigation in federated learning","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966217"},{"key":"ref39","first-page":"6106","article-title":"Poison frogs! targeted clean-label poisoning attacks on neural networks","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Shafahi"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00243"}],"container-title":["IEEE Transactions on Cognitive Communications and Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687307\/11304002\/10976716.pdf?arnumber=10976716","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T19:00:47Z","timestamp":1766170847000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10976716\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/tccn.2025.3564476","relation":{},"ISSN":["2332-7731","2372-2045"],"issn-type":[{"value":"2332-7731","type":"electronic"},{"value":"2372-2045","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}