{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T17:40:50Z","timestamp":1769017250285,"version":"3.49.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T00:00:00Z","timestamp":1754265600000},"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":[],"published-print":{"date-parts":[[2025,8,4]]},"DOI":"10.1109\/icccn65249.2025.11133788","type":"proceedings-article","created":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T17:39:20Z","timestamp":1756489160000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["MaEA: A Secure Aggregation Defense Method Against Poisoning Attacks in Federated Learning"],"prefix":"10.1109","author":[{"given":"Zheyi","family":"Chen","sequence":"first","affiliation":[{"name":"Zhejiang A&amp;F University,College of Mathematics and Computer Science,Hangzhou,China,311300"}]},{"given":"Yujie","family":"Xue","sequence":"additional","affiliation":[{"name":"Zhejiang A&amp;F University,College of Mathematics and Computer Science,Hangzhou,China,311300"}]},{"given":"Yunjing","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Hongting","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Hansong","family":"Xu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,College of Electronic Information and Electrical Engineering,Shanghai,China,200240"}]},{"given":"Kun","family":"Hua","sequence":"additional","affiliation":[{"name":"CaliforniaPolytechnic State University,Department of Electrical Engineering,San Luis Obispo,CA,USA,93407"}]},{"given":"Dongfeng","family":"Fang","sequence":"additional","affiliation":[{"name":"Califor-niaPolytechnic State University,Department of Electrical Engineering,San Luis Obispo,CA,USA,93407"}]},{"given":"Hailin","family":"Feng","sequence":"additional","affiliation":[{"name":"Zhejiang A&amp;F University,College of Mathematics and Computer Science,Hangzhou,China,311300"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics.","author":"McMahan","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref3","article-title":"Heterogeneity-guided client sampling: Towards fast and efficient non-iid federated learning","author":"Chen","year":"2024"},{"key":"ref4","article-title":"Federated learning for mobile keyboard prediction","author":"Hard","year":"2018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3383455.3422562"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0186-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-010-5188-5"},{"key":"ref8","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume":"30","author":"Blanchard","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref10","article-title":"Targeted backdoor attacks on deep learning systems using data poisoning","author":"Chen","year":"2017"},{"key":"ref11","first-page":"16 070","article-title":"Attack of the tails: Yes, you really can backdoor federated learning","volume":"33","author":"Wang","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","first-page":"10 000","article-title":"Model-targeted poisoning attacks with provable convergence","volume-title":"International Conference on Machine Learning","author":"Suya"},{"key":"ref13","first-page":"1605","article-title":"Local model poisoning attacks to {Byzantine-Robust} federated learning","volume-title":"29th USENIX security symposium (USENIX Security 20)","author":"Fang"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom56396.2022.00030"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3335772.3335936"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2991079.2991125"},{"key":"ref17","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"International conference on machine learning","author":"Yin"},{"key":"ref18","article-title":"Mitigating sybils in federated learning poisoning","author":"Fung","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.10.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAE59995.2024.10569874"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-024-03667-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3242375"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3357530"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref25","article-title":"Poisoning attacks against support vector machines","author":"Biggio","year":"2012"}],"event":{"name":"2025 34th International Conference on Computer Communications and Networks (ICCCN)","location":"Tokyo, Japan","start":{"date-parts":[[2025,8,4]]},"end":{"date-parts":[[2025,8,7]]}},"container-title":["2025 34th International Conference on Computer Communications and Networks (ICCCN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11133715\/11133717\/11133788.pdf?arnumber=11133788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T05:22:39Z","timestamp":1756531359000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11133788\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,4]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icccn65249.2025.11133788","relation":{},"subject":[],"published":{"date-parts":[[2025,8,4]]}}}