{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T17:57:24Z","timestamp":1773511044057,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T00:00:00Z","timestamp":1651449600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T00:00:00Z","timestamp":1651449600000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,2]]},"DOI":"10.1109\/infocomwkshps54753.2022.9798217","type":"proceedings-article","created":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T21:18:54Z","timestamp":1655759934000},"page":"1-6","source":"Crossref","is-referenced-by-count":25,"title":["WMDefense: Using Watermark to Defense Byzantine Attacks in Federated Learning"],"prefix":"10.1109","author":[{"given":"Xu","family":"Zheng","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"}]},{"given":"Qihao","family":"Dong","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"}]},{"given":"Anmin","family":"Fu","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9029245"},{"key":"ref11","first-page":"634","article-title":"Analyzing federated learning through an adversarial lens[C]","author":"bhagoji","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24434"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3090951"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24498"},{"key":"ref15","first-page":"58395849","article-title":"Secure collaborative deep learning against gan attacks in the internet of things","volume":"8","author":"chen","year":"2020","journal-title":"IEEE Internet of Things Journal"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/277044.277240"},{"key":"ref17","article-title":"Badnets: Identifying vulnerabilities in the machine learning model supply chain[J]","author":"gu","year":"2017","journal-title":"arXiv preprint arXiv 1708 06578"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3196494.3196550"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-018-0147-1"},{"key":"ref4","article-title":"A little is enough: Circumventing defenses for distributed learning","author":"baruch","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3036166"},{"key":"ref6","first-page":"1605","article-title":"Local model poisoning attacks to byzantine-robust federated learning[C]","author":"fang","year":"2020","journal-title":"29th USENIX Security Symposium (USENIX Security 20)"},{"key":"ref5","first-page":"2938","article-title":"How to backdoor federated learning[C]","author":"bagdasaryan","year":"2020","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3154503"},{"key":"ref7","first-page":"118","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent[C]","author":"blanchard","year":"2017","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2987958"},{"key":"ref1","article-title":"Federated learning: Strategies for improving communication efficiency","author":"konen","year":"2016","journal-title":"NIPS Workshop on Private Multi-Party Machine Learning PMPML '16"},{"key":"ref9","first-page":"3521","article-title":"The hidden vulnerability of distributed learning in byzantium[C]","author":"guerraoui","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref20","first-page":"1","article-title":"PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems[J]","volume":"99","author":"zhang","year":"2020","journal-title":"IEEE Internet of Things Journal"},{"key":"ref22","article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"0","journal-title":"ArXiv 1708 07747"},{"key":"ref21","article-title":"Efficient Certificateless Multi-Copy Integrity Auditing Scheme Supporting Data Dynamics","author":"zhou","year":"2020","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"key":"ref23","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"}],"event":{"name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","location":"New York, NY, USA","start":{"date-parts":[[2022,5,2]]},"end":{"date-parts":[[2022,5,5]]}},"container-title":["IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9797887\/9797888\/09798217.pdf?arnumber=9798217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T20:47:16Z","timestamp":1658177236000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9798217\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,2]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/infocomwkshps54753.2022.9798217","relation":{},"subject":[],"published":{"date-parts":[[2022,5,2]]}}}