{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T12:29:11Z","timestamp":1777984151064,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Cyber Security Research Centre Ltd."},{"DOI":"10.13039\/100012913","name":"Tata Consultancy Services","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012913","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Australian Government\u2019s Cooperative Research Centres Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tifs.2024.3468150","type":"journal-article","created":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T13:30:30Z","timestamp":1727271030000},"page":"9173-9187","source":"Crossref","is-referenced-by-count":5,"title":["Privacy-Preserving Probabilistic Data Encoding for IoT Data Analysis"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5340-0815","authenticated-orcid":false,"given":"Zakia","family":"Zaman","sequence":"first","affiliation":[{"name":"Institute for Cybersecurity (IFCYBER), University of New South Wales (UNSW), Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6000-7242","authenticated-orcid":false,"given":"Wanli","family":"Xue","sequence":"additional","affiliation":[{"name":"Institute for Cybersecurity (IFCYBER), University of New South Wales (UNSW), Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9135-2930","authenticated-orcid":false,"given":"Praveen","family":"Gauravaram","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services Ltd., Brisbane, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4076-1811","authenticated-orcid":false,"given":"Wen","family":"Hu","sequence":"additional","affiliation":[{"name":"Institute for Cybersecurity (IFCYBER), University of New South Wales (UNSW), Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7307-8114","authenticated-orcid":false,"given":"Jiaojiao","family":"Jiang","sequence":"additional","affiliation":[{"name":"Institute for Cybersecurity (IFCYBER), University of New South Wales (UNSW), Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1844-1520","authenticated-orcid":false,"given":"Sanjay K.","family":"Jha","sequence":"additional","affiliation":[{"name":"Institute for Cybersecurity (IFCYBER), University of New South Wales (UNSW), Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2018.112102519"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2022-0024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813687"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3485832.3485921"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom53373.2021.00061"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813700"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSEC.2018.2888775"},{"key":"ref8","volume-title":"A Fully Homomorphic Encryption Scheme","author":"Gentry","year":"2009"},{"key":"ref9","first-page":"758","article-title":"Fast data anonymization with low information loss","volume-title":"Proc. 33rd Int. Conf. Very Large Data Bases","author":"Ghinita"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2015INI0003"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2008.33"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660348"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2980835"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00176"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3530867"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2016.0038"},{"key":"ref20","volume-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems","year":"2015"},{"key":"ref21","first-page":"2615","article-title":"Systematic evaluation of privacy risks of machine learning models","volume-title":"Proc. USENIX Secur. Symp.","author":"Song"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/362686.362692"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.29012\/jpc.784"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17140-6_10"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00063"},{"key":"ref26","article-title":"How to break anonymity of the Netflix prize dataset","author":"Narayanan","year":"2006","journal-title":"arXiv:0610105"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1080\/15427951.2004.10129096"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6947-9-41"},{"key":"ref29","first-page":"286","article-title":"An efficient Bloom filter based solution for multiparty private matching","volume-title":"Security and Management","author":"Lai","year":"2006"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.12.004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3191492"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3579856.3590338"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2952146"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2022.102631"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17123"},{"key":"ref38","volume-title":"The CIFAR-10 Dataset","author":"Krizhevsky","year":"2014"},{"key":"ref39","article-title":"Modelling and automatically analysing privacy properties for honest-but-curious adversaries","author":"Paverd","year":"2014"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2007.11"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-07085-3_8"},{"key":"ref42","first-page":"27131","article-title":"Deep learning with label differential privacy","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Ghazi"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59706-1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411931"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref46","first-page":"1","article-title":"BinaryConnect: Training deep neural networks with binary weights during propagations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Courbariaux"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8060661"},{"key":"ref48","article-title":"Network in network","author":"Lin","year":"2013","journal-title":"arXiv:1312.4400"},{"key":"ref49","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref50","first-page":"1","article-title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments","volume-title":"Proc. Workshop Faces `Real-Life Images, Detection, Alignment, Recognit.","author":"Huang"},{"key":"ref51","volume-title":"Gender-Detection-Keras","author":"Ponnusamy","year":"2019"},{"key":"ref52","article-title":"Dataport pecan street","author":"Street","year":"2019"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref54","volume-title":"CVLIB\u2014High Level Computer Vision Library for Python","author":"Ponnusamy","year":"2018"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148937"},{"key":"ref56","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"McInnes","year":"2018","journal-title":"arXiv:1802.03426"},{"key":"ref57","article-title":"A unified plug-and-play framework for effective data denoising and robust abstention","author":"Sarker","year":"2020","journal-title":"arXiv:2009.12027"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/11841036_42"},{"key":"ref59","article-title":"Optimal parameter choice for Bloom filter-based privacy-preserving record linkage","author":"Borgs","year":"2019"},{"key":"ref60","first-page":"1","article-title":"Character-level convolutional networks for text classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Zhang"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10206\/10319981\/10693594.pdf?arnumber=10693594","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T13:35:49Z","timestamp":1728394549000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10693594\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tifs.2024.3468150","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.24083118.v1","asserted-by":"object"}]},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}