{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T02:52:26Z","timestamp":1776653546097,"version":"3.51.2"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"23","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100005153","name":"China National Funds for Distinguished Young Scientists","doi-asserted-by":"publisher","award":["61825204"],"award-info":[{"award-number":["61825204"]}],"id":[{"id":"10.13039\/501100005153","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC Project","doi-asserted-by":"publisher","award":["61932016"],"award-info":[{"award-number":["61932016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Outstanding Young Scientist Program","award":["BJJWZYJH01201910003011"],"award-info":[{"award-number":["BJJWZYJH01201910003011"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB0803405"],"award-info":[{"award-number":["2018YFB0803405"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017582","name":"Beijing National Research Center for Information Science and Technology","doi-asserted-by":"publisher","award":["BNR2019RC01011"],"award-info":[{"award-number":["BNR2019RC01011"]}],"id":[{"id":"10.13039\/501100017582","id-type":"DOI","asserted-by":"publisher"}]},{"name":"PCL Future Greater-Bay Area Network Facilities for Largescale Experiments and Applications","award":["LZC0019"],"award-info":[{"award-number":["LZC0019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2021,12,1]]},"DOI":"10.1109\/jiot.2021.3079304","type":"journal-article","created":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T20:26:46Z","timestamp":1620764806000},"page":"16933-16945","source":"Crossref","is-referenced-by-count":26,"title":["MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart Cities"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3632-3381","authenticated-orcid":false,"given":"Yi","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2587-8517","authenticated-orcid":false,"given":"Ke","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meina","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2180-8941","authenticated-orcid":false,"given":"Haobin","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2019.02.004"},{"key":"ref38","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2602079"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000068"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3007629"},{"key":"ref37","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"goodfellow","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref34","article-title":"A lightweight privacy-preserving CNN feature extraction framework for mobile sensing","author":"huang","year":"2019","journal-title":"IEEE Trans Depend Secure Comput"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800275"},{"key":"ref40","first-page":"1","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2772959"},{"key":"ref12","first-page":"2755","article-title":"Context based emotion recognition using emotic dataset","volume":"42","author":"kosti","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref13","first-page":"183","article-title":"A CNN-assisted enhanced audio signal processing for speech emotion recognition","volume":"20","author":"kwon","year":"2020","journal-title":"SENSORS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502282"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00354"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3002500"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886767"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3345660"},{"key":"ref19","first-page":"1","article-title":"Unrestricted adversarial examples via semantic manipulation","author":"bhattad","year":"2020","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2019.1800419"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737458"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.06.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3018807"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.1900570"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01024"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2986015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3450630"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.8675165"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000265"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2953061"},{"key":"ref9","first-page":"2430","article-title":"Label-less learning for emotion cognition","volume":"31","author":"chen","year":"2020","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2944695"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6871673"},{"key":"ref21","article-title":"A quantitative survey of communication optimizations in distributed deep learning","author":"shi","year":"2020","journal-title":"IEEE Netw"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3058587"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01160"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3366424.3386584"},{"key":"ref41","first-page":"1","article-title":"Ensemble adversarial training: Attacks and defenses","author":"tram\u00e8r","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00583"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1037\/a0031640"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005638"},{"key":"ref43","first-page":"1","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/9620058\/09427992.pdf?arnumber=9427992","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:35Z","timestamp":1652194415000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9427992\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,1]]},"references-count":44,"journal-issue":{"issue":"23"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2021.3079304","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,1]]}}}