{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T19:02:53Z","timestamp":1780081373987,"version":"3.54.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000905","name":"Commonwealth Cyber Initiative","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000905","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,4]]},"DOI":"10.1109\/icit58465.2023.10143126","type":"proceedings-article","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T17:21:52Z","timestamp":1686331312000},"page":"1-7","source":"Crossref","is-referenced-by-count":8,"title":["Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems"],"prefix":"10.1109","author":[{"given":"Victor","family":"Cobilean","sequence":"first","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harindra S.","family":"Mavikumbure","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chathurika S.","family":"Wickramasinghe","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel L.","family":"Marino","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milos","family":"Manic","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3491209"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2018.10.045"},{"key":"ref15","author":"hellstr\u00f6m","year":"2020","journal-title":"Bias in Machine Learning - What is it Good for?"},{"key":"ref14","author":"krishnapriyan","year":"2021","journal-title":"Characterizing possible failure modes in physics-informed neural networks"},{"key":"ref31","author":"li","year":"2021","journal-title":"Physics-Informed Learning for High Impedance Faults Detection"},{"key":"ref30","author":"falas","year":"2020","journal-title":"Physics-Informed Neural Networks for Securing Water Distribution Systems"},{"key":"ref11","article-title":"Applications of physics-informed neural networks in power systems-a review","author":"huang","year":"2022","journal-title":"IEEE Transactions on Power Systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2987324"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/9781119226079.ch1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2014.7039487"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"ref16","year":"0","journal-title":"Physics-informed machine learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2021.103498"},{"key":"ref18","first-page":"14274","article-title":"On translation invariance in cnns: Convolutional layers can exploit absolute spatial location","author":"kayhan","year":"2020","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","article-title":"Self-supervised and interpretable anomaly detection using network transformers","author":"marino","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2898634"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539117"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1109\/HASE.2017.36","article-title":"Anomaly detection in cyber physical systems using recurrent neural networks","author":"goh","year":"2017","journal-title":"2017 IEEE 18th International Symposium on High Assurance Systems Engineering (HASE)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-021-00314-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.108907"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10000944"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.108875"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.01.136"},{"key":"ref29","author":"lakshminarayana","year":"2022","journal-title":"Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3079836"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2720168"},{"key":"ref9","author":"meng","year":"2022","journal-title":"When Physics Meets Machine Learning A Survey of Physics-Informed Machine Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IECON49645.2022.9968505"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372834"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3264888.3264896"}],"event":{"name":"2023 IEEE International Conference on Industrial Technology (ICIT)","location":"Orlando, FL, USA","start":{"date-parts":[[2023,4,4]]},"end":{"date-parts":[[2023,4,6]]}},"container-title":["2023 IEEE International Conference on Industrial Technology (ICIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10143075\/10143030\/10143126.pdf?arnumber=10143126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T17:58:56Z","timestamp":1687802336000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10143126\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,4]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icit58465.2023.10143126","relation":{},"subject":[],"published":{"date-parts":[[2023,4,4]]}}}