{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T16:32:01Z","timestamp":1783787521981,"version":"3.55.0"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"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":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tbdata.2023.3239116","type":"journal-article","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T19:38:09Z","timestamp":1674502689000},"page":"839-850","source":"Crossref","is-referenced-by-count":41,"title":["Improved Gradient Inversion Attacks and Defenses in Federated Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4205-8230","authenticated-orcid":false,"given":"Jiahui","family":"Geng","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Unviersity of Stavanger, Stavanger, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2064-0107","authenticated-orcid":false,"given":"Yongli","family":"Mou","sequence":"additional","affiliation":[{"name":"Chair of Computer Science 5, Information Systems and Databases, RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6442-5003","authenticated-orcid":false,"given":"Qing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Unviersity of Stavanger, Stavanger, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4815-8547","authenticated-orcid":false,"given":"Feifei","family":"Li","sequence":"additional","affiliation":[{"name":"Institutscluster IMA\/ZLW und IfU, RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oya","family":"Beyan","sequence":"additional","affiliation":[{"name":"Faculty of Medicine and University Hospital Cologne, Institute for Medical Informatics, University of Cologne, Köln, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6324-7164","authenticated-orcid":false,"given":"Stefan","family":"Decker","sequence":"additional","affiliation":[{"name":"Chair of Computer Science 5, Information Systems and Databases, RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8347-0539","authenticated-orcid":false,"given":"Chunming","family":"Rong","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Unviersity of Stavanger, Stavanger, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"Kone\u010dn\u1ef3","year":"2016"},{"key":"ref2","article-title":"Federated learning: Strategies for improving communication efficiency","author":"Kone\u010dn\u1ef3","year":"2016"},{"key":"ref3","article-title":"Federated learning of deep networks using model averaging","author":"McMahan","year":"2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00323-1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref6","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_2"},{"key":"ref10","article-title":"idlg: Improved deep leakage from gradients","author":"Zhao","year":"2020"},{"key":"ref11","first-page":"16 937","article-title":"Inverting gradients-how easy is it to break privacy in federated learning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Geiping"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"ref14","first-page":"17","article-title":"Privacy in pharmacogenetics: An $\\lbrace${End-to-End$\\rbrace$} case study of personalized warfarin dosing","volume-title":"Proc. 23rd USENIX Secur. Symp.","author":"Fredrikson"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2019-0008"},{"issue":"1","key":"ref17","first-page":"61","article-title":"Membership inference attack against differentially private deep learning model","volume":"11","author":"Rahman","year":"2018","journal-title":"Trans. Data Priv."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2196\/medinform.8805"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2857705.2857731"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972740.21"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081942"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37682-5_1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref24","article-title":"Semi-supervised knowledge transfer for deep learning from private training data","author":"Papernot","year":"2016"},{"key":"ref25","article-title":"Scalable private learning with pate","author":"Papernot","year":"2018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/BF01589116"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref28","article-title":"Evaluating gradient inversion attacks and defenses in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Huang"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00919"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102378"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134012"},{"key":"ref32","first-page":"1291","article-title":"$\\lbrace${Updates-Leak$\\rbrace$}: Data set inference and reconstruction attacks in online learning","volume-title":"Proc. 29th USENIX Secur. Symp.","author":"Salem"},{"key":"ref33","article-title":"Towards general deep leakage in federated learning","author":"Geng","year":"2021"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10750532\/10024757.pdf?arnumber=10024757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:28:17Z","timestamp":1732735697000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10024757\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":33,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2023.3239116","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}