{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T04:11:26Z","timestamp":1744949486091,"version":"3.40.4"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"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":[[2025,3,31]]},"DOI":"10.1109\/icstw64639.2025.10962524","type":"proceedings-article","created":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T17:47:42Z","timestamp":1744825662000},"page":"443-450","source":"Crossref","is-referenced-by-count":0,"title":["Federated Learning under Attack: Game-Theoretic Mitigation of Data Poisoning"],"prefix":"10.1109","author":[{"given":"Marco","family":"De Santis","sequence":"first","affiliation":[{"name":"University of Salerno,Dept. Computer Science,Fisciano,Italy"}]},{"given":"Christian","family":"Esposito","sequence":"additional","affiliation":[{"name":"University of Salerno,Dept. Computer Science,Fisciano,Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106854"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103061"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3075203"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10846-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.09.011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58951-6_24"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3216981"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2021.24498"},{"key":"ref10","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":"ref11","article-title":"Fedgame: a game-theoretic defense against backdoor attacks in federated learning","volume":"36","author":"Jia","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88418-5_22"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA240686"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833647"},{"article-title":"Fedtruth: Byzantine-robust and backdoor-resilient federated learning framework","year":"2023","author":"Ebron","key":"ref15"}],"event":{"name":"2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)","start":{"date-parts":[[2025,3,31]]},"location":"Naples, Italy","end":{"date-parts":[[2025,4,4]]}},"container-title":["2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10962452\/10962453\/10962524.pdf?arnumber=10962524","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T05:44:46Z","timestamp":1744868686000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10962524\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icstw64639.2025.10962524","relation":{},"subject":[],"published":{"date-parts":[[2025,3,31]]}}}