{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T02:53:39Z","timestamp":1784948019918,"version":"3.55.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"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. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tetci.2024.3485723","type":"journal-article","created":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T13:38:30Z","timestamp":1730381910000},"page":"988-1000","source":"Crossref","is-referenced-by-count":14,"title":["Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3022-2205","authenticated-orcid":false,"given":"Ngoc Duy","family":"Pham","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, School of Technology, Van Lang University, Ho Chi Minh, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0471-9402","authenticated-orcid":false,"given":"Khoa T.","family":"Phan","sequence":"additional","affiliation":[{"name":"School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5396-8897","authenticated-orcid":false,"given":"Naveen","family":"Chilamkurti","sequence":"additional","affiliation":[{"name":"School of Computing, Engineering, and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Privacy in deep learning: A survey","author":"Mireshghallah","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3460427"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.05.003"},{"key":"ref4","article-title":"Split learning for health: Distributed deep learning without sharing raw patient data","author":"Vepakomma","year":"2018"},{"key":"ref5","article-title":"Federated learning: Strategies for improving communication efficiency","author":"Konen","year":"2017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3320269.3384740"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3274391"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3022358"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3359789.3359824"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3559613.3563201"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220106"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378522"},{"key":"ref13","article-title":"Practical defences against model inversion attacks for split neural networks","author":"Titcombe","year":"2021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-022-03113-7"},{"key":"ref15","article-title":"Differentially private cutmix for split learning with vision transformer","author":"Oh","year":"2022"},{"key":"ref16","article-title":"Privacy-preserving split learning with vision transformers using patch-wise random and noisy cutmix","author":"Oh","year":"2024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/s22165983"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00050"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3267082"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3135752"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"ref23","article-title":"Programming differential privacy","author":"Near","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref25","article-title":"Sums of independent normal random variables","year":"2023"},{"key":"ref26","first-page":"901","article-title":"Weight normalization: A simple reparameterization to accelerate training of deep neural networks","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Salimans","year":"2016"},{"key":"ref27","article-title":"Modelling and automatically analysing privacy properties for honest-but-curious adversaries","author":"Paverd","year":"2014"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3170242"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2763126"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW51313.2020.00134"},{"key":"ref32","article-title":"Image classification on MNIST","year":"2023"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126474"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09825-6"},{"key":"ref35","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref36","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2017"},{"key":"ref38","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2017"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3046648"},{"key":"ref41","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7433297\/10850886\/10740400.pdf?arnumber=10740400","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T18:02:02Z","timestamp":1754503322000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10740400\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":41,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2024.3485723","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}