{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T14:46:21Z","timestamp":1764859581213,"version":"3.37.3"},"reference-count":49,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/1000000010","name":"NSF","doi-asserted-by":"publisher","award":["CNS-2038922"],"award-info":[{"award-number":["CNS-2038922"]}],"id":[{"id":"10.13039\/1000000010","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1109\/icccn58024.2023.10230180","type":"proceedings-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T17:22:54Z","timestamp":1693588974000},"page":"1-10","source":"Crossref","is-referenced-by-count":14,"title":["Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids"],"prefix":"10.1109","author":[{"given":"Jiangnan","family":"Li","sequence":"first","affiliation":[{"name":"The University of Tennessee,Knoxville"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Illinois Springfield"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinyuan Stella","family":"Sun","sequence":"additional","affiliation":[{"name":"The University of Tennessee,Knoxville"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"Tomsovic","sequence":"additional","affiliation":[{"name":"The University of Tennessee,Knoxville"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hairong","family":"Qi","sequence":"additional","affiliation":[{"name":"The University of Tennessee,Knoxville"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2018.8450487"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT.2018.8403355"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/PMAPS47429.2020.9183526"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT.2019.8791598"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"3271","DOI":"10.1109\/TII.2018.2825243","article-title":"Online false data injection attack detection with wavelet transform and deep neural networks","volume":"14","author":"james","year":"2018","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2018.8591079"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3307772.3328314"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2018.8587547"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm47815.2020.9303013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2019.8909713"},{"key":"ref46","first-page":"772","article-title":"False-data injection attack to control realtime price in electricity market","author":"bi","year":"0","journal-title":"2013 IEEE Global Communications Conference (GLOBECOM)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2051168"},{"key":"ref48","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTGRID.2010.5622048"},{"key":"ref42","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-019-1211-x"},{"key":"ref44","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref43","first-page":"274","article-title":"Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples","author":"athalye","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.17"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727361"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2404803"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2703842"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2542061"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2014.2382714"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2686367"},{"key":"ref5","first-page":"1162","article-title":"Defending mechanisms against false-data injection attacks in the power system state estimation","author":"bi","year":"0","journal-title":"2011 IEEE GLOBECOM Workshops (GC Wkshps)"},{"key":"ref40","article-title":"Mitigating adversarial effects through randomization","author":"xie","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref35","article-title":"Feature squeezing: Detecting adversarial examples in deep neural networks","author":"xu","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23415"},{"key":"ref37","article-title":"Ensemble adversarial training: Attacks and defenses","author":"tramer","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref36","first-page":"3353","article-title":"Adversarial training for free!","author":"shafahi","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.58"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.41"},{"key":"ref32","article-title":"Adversarial machine learning at scale","author":"kurakin","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2012.6503599"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1653662.1653666"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134057"},{"key":"ref38","article-title":"Towards deep neural network architectures robust to adversarial examples","author":"gu","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM.2018.8585954"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1007\/s40565-016-0223-6","article-title":"Impact analysis of false data injection attacks on power system static security assessment","volume":"4","author":"jiongcong","year":"2016","journal-title":"Journal of Modern Power Systems and Clean Energy"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2011.2119336"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2294966"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3433210.3437513"},{"key":"ref22","article-title":"On detecting adversarial perturbations","author":"metzen","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37231-6_21"},{"key":"ref28","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2006.881149"},{"key":"ref29","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"ArXiv Preprint"}],"event":{"name":"2023 32nd International Conference on Computer Communications and Networks (ICCCN)","start":{"date-parts":[[2023,7,24]]},"location":"Honolulu, HI, USA","end":{"date-parts":[[2023,7,27]]}},"container-title":["2023 32nd International Conference on Computer Communications and Networks (ICCCN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10230087\/10230088\/10230180.pdf?arnumber=10230180","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:54:40Z","timestamp":1695664480000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10230180\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/icccn58024.2023.10230180","relation":{},"subject":[],"published":{"date-parts":[[2023,7]]}}}