{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T15:05:52Z","timestamp":1773414352221,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1109\/mwscas.2019.8884977","type":"proceedings-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T19:44:38Z","timestamp":1572551078000},"page":"650-653","source":"Crossref","is-referenced-by-count":4,"title":["VAWS: Vulnerability Analysis of Neural Networks using Weight Sensitivity"],"prefix":"10.1109","author":[{"given":"Muluken","family":"Hailesellasie","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Tennessee Tech University, Cookeville, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob","family":"Nelson","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Tennessee Tech University, Cookeville, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faiq","family":"Khalid","sequence":"additional","affiliation":[{"name":"Institute of Computer Engineering, Vienna University of Technology (TU Wien), Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syed Rafay","family":"Hasan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Tennessee Tech University, Cookeville, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Badnets: Identifying vulnerabilities in the machine learning model supply chain","author":"gu","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IOLTS.2019.8854425"},{"key":"ref12","article-title":"Adversarial attacks on neural network: policies","author":"huang","year":"2017"},{"key":"ref13","article-title":"Maximal jacobian-based saliency map attack","author":"wiyatno","year":"2018"},{"key":"ref14","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013"},{"key":"ref15","article-title":"Towards evaluating the robustness of neural networks","author":"carlini","year":"2016"},{"key":"ref16","first-page":"327","article-title":"Security for machine learning-based systems: Attacks and challenges during training and inference","author":"khalid","year":"2018","journal-title":"FIT"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1145\/3359789.3359790","article-title":"STRIP: a defence against trojan attacks on deep neural networks","author":"gao","year":"2019"},{"key":"ref18","first-page":"304","article-title":"Handwriting arabic character recognition lenet using neural network","volume":"6","author":"al-jawfi","year":"2009","journal-title":"Int Arab J Inf Technol"},{"key":"ref19","article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050317"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2907865"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342120"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351283"},{"key":"ref8","article-title":"RED-Attack: resource efficient decision based attack for machine learning","author":"khalid","year":"2019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IOLTS.2018.8474192"},{"key":"ref2","first-page":"49","article-title":"Forecasting americans long-term adoption of connected and autonomous vehicle technologies;' Transportation Research Part A: Policy and Practice","author":"bansal","year":"2017","journal-title":"IN'95"},{"key":"ref1","article-title":"Worldwide and regional internet of things (iot) 2014-2020 forecast: A virtuous circle of proven value and demand","volume":"1","author":"lund","year":"2014","journal-title":"International Data Corporation Report"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2018.00038"},{"key":"ref20","article-title":"The ND-IRIS-0405 iris image dataset","author":"bowyer","year":"2016"}],"event":{"name":"2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)","location":"Dallas, TX, USA","start":{"date-parts":[[2019,8,4]]},"end":{"date-parts":[[2019,8,7]]}},"container-title":["2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8882388\/8884793\/08884977.pdf?arnumber=8884977","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:31:59Z","timestamp":1755714719000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8884977\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/mwscas.2019.8884977","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}