{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T17:32:25Z","timestamp":1783791145012,"version":"3.55.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10446615","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"9116-9120","source":"Crossref","is-referenced-by-count":1,"title":["Mitigating Data Injection Attacks on Federated Learning"],"prefix":"10.1109","author":[{"given":"Or","family":"Shalom","sequence":"first","affiliation":[{"name":"Bar-Ilan University,Faculty of Engineering,Ramat Gan,Israel,5290002"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir","family":"Leshem","sequence":"additional","affiliation":[{"name":"Bar-Ilan University,Faculty of Engineering,Ramat Gan,Israel,5290002"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waheed U.","family":"Bajwa","sequence":"additional","affiliation":[{"name":"Rutgers University,Dept. of Electrical &amp; Computer Engineering,New Brunswick,NJ,USA,08854"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0272-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0059-y"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106775"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3204796"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2021.3114671"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58951-6_24"},{"key":"ref8","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":"ref9","first-page":"2938","article-title":"How to backdoor federated learning","volume-title":"International conference on artificial intelligence and statistics","author":"Bagdasaryan"},{"key":"ref10","article-title":"Backdoor attacks in peer-to-peer federated learning","author":"Yar","year":"2023"},{"key":"ref11","first-page":"16937","article-title":"Inverting gradients-how easy is it to break privacy in federated learning?","volume":"33","author":"Geiping","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_1"},{"key":"ref13","article-title":"Federated learning: Opportunities and challenges","author":"Mary Mammen","year":"2021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462528"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2019.12.185"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2022.3188450"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747253"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041404"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2022.3188456"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2019.2928176"},{"key":"ref21","article-title":"Robust federated learning in a heterogeneous environment","author":"Ghosh","year":"2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108588"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/lsp.2023.3321561"},{"key":"ref24","article-title":"On the convergence of local descent methods in federated learning","author":"Haddadpour","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036952"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2024,4,14]]},"end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10446615.pdf?arnumber=10446615","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:22:52Z","timestamp":1722576172000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10446615\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10446615","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}