{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T21:10:16Z","timestamp":1724965816273},"reference-count":43,"publisher":"IEEE","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\/100016311","name":"Arm","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016311","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/gcwkshps52748.2021.9682097","type":"proceedings-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T21:06:05Z","timestamp":1643058365000},"source":"Crossref","is-referenced-by-count":24,"title":["Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications"],"prefix":"10.1109","author":[{"given":"Brian","family":"Kim","sequence":"first","affiliation":[]},{"given":"Yi","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Yalin E.","family":"Sagduyu","sequence":"additional","affiliation":[]},{"given":"Tugba","family":"Erpek","sequence":"additional","affiliation":[]},{"given":"Sennur","family":"Ulukus","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Wireless jamming attacks under dynamic traffic uncertainty","author":"sagduyu","year":"2010","journal-title":"International Symposium on Modeling and Optimization in Mobile Ad Hoc and Wireless Networks (WIOPT)"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2011.5978424"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3395352.3404070"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3468218.3469051"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3395352.3402619"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3030061"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2020.3010330"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3324921.3329695"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2019.8935782"},{"key":"ref34","article-title":"Membership inference attack and defense for wireless signal classifiers with deep learning","author":"shi","year":"2021","journal-title":"arXiv preprint arXiv 2107 12173"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCW.2018.8403655"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2901469"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2018.2884910"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2867459"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3324921.3328792"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP45357.2019.8969138"},{"key":"ref15","article-title":"Evaluating adversarial evasion attacks in the context of wireless communications","author":"flowers","year":"2019","journal-title":"arXiv preprint arXiv 1903 01350"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3324921.3328785"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155389"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CISS48834.2020.1570617416"},{"key":"ref19","article-title":"Channel-aware adversarial attacks against deep learning-based wireless signal classifiers","author":"kim","year":"2020","journal-title":"arXiv preprint arXiv 2005 06138"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2018.8599832"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2018.8645343"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/9781119723950.ch14"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31764-5_9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2992629"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2950398"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2973253"},{"key":"ref8","article-title":"When wireless security meets machine learning: Motivation, challenges, and research directions","author":"sagduyu","year":"2020","journal-title":"arXiv preprint arXiv 2001 04786"},{"key":"ref7","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013","journal-title":"arXiv preprint arXiv 1312 6199"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref9","article-title":"Adversarial machine learning in wireless communications using RF data: A review","author":"adesina","year":"2020","journal-title":"2012 arXiv preprint arXiv"},{"key":"ref1","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2011","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP45357.2019.8969541"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF51394.2020.9443500"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3025441"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2013.020413.122898"},{"key":"ref24","article-title":"Channel effects on surrogate models of adversarial attacks against wireless signal classifiers","author":"kim","year":"2020","journal-title":"IEEE International Conference on Communications (ICC)"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/SSP49050.2021.9513738"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps50303.2020.9367473"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500424"},{"key":"ref43","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2019.8824956"}],"event":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","location":"Madrid, Spain","start":{"date-parts":[[2021,12,7]]},"end":{"date-parts":[[2021,12,11]]}},"container-title":["2021 IEEE Globecom Workshops (GC Wkshps)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9681915\/9681831\/09682097.pdf?arnumber=9682097","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:53Z","timestamp":1652201873000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9682097\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/gcwkshps52748.2021.9682097","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]}}}