{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T16:28:51Z","timestamp":1781713731764,"version":"3.54.5"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1764185,OAC-2212424"],"award-info":[{"award-number":["CNS-1764185,OAC-2212424"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,4]]},"DOI":"10.1109\/globecom48099.2022.10001235","type":"proceedings-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T22:24:18Z","timestamp":1673475858000},"page":"61-67","source":"Crossref","is-referenced-by-count":11,"title":["Dynamic Deep Neural Network Adversarial Attacks for Edge-based IoT Devices"],"prefix":"10.1109","author":[{"given":"Mohammed","family":"Ayyat","sequence":"first","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,VA,USA,23220"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santosh Kumar","family":"Nukavarapu","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,VA,USA,23220"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tamer","family":"Nadeem","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University,Department of Computer Science,Richmond,VA,USA,23220"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4140\/TCP.n.2015.249"},{"key":"ref2","article-title":"Pruning algorithms to accelerate convolutional neural networks for edge applications: A survey","author":"Liu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3117837"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413153"},{"key":"ref6","article-title":"Channel gating neural networks","author":"Hua","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1109\/ISCC50000.2020.9219647","article-title":"Inference time optimization using branchynet partitioning","volume-title":"2020 IEEE Symposium On Computers And Communications (ISCC)","author":"Pachecom","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3453142.3493517"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/543"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref12","article-title":"SIGMA: Strengthening IDS with GAN and Metaheuristics Attacks","author":"Msika","journal-title":"ArXiv Preprint"},{"key":"ref13","author":"Szegedy","year":"2014","journal-title":"Intriguing properties of neural networks"},{"key":"ref14","volume-title":"CIFAR-10 (Canadian Institute for Advanced Research)","author":"Krizhevsky"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2019.8916519"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5555\/3241094.3241142"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/AsianHOST.2018.8607161"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CDC45484.2021.9683559"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICEIC51217.2021.9369754"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2018.00049"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","author":"Goodfellow","year":"2015","journal-title":"Explaining and Harnessing Adversarial Examples"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1789","DOI":"10.1007\/s11263-021-01453-z","article-title":"Knowledge Distillation: A Survey","volume":"129","author":"Gou","year":"2021","journal-title":"International Journal Of Computer Vision"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26139"},{"key":"ref25","article-title":"A Panda? No, Its a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference","author":"Hong","year":"2020","journal-title":"ArXiv Preprint"}],"event":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","location":"Rio de Janeiro, Brazil","start":{"date-parts":[[2022,12,4]]},"end":{"date-parts":[[2022,12,8]]}},"container-title":["GLOBECOM 2022 - 2022 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10000063\/10000593\/10001235.pdf?arnumber=10001235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T03:17:01Z","timestamp":1707448621000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10001235\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/globecom48099.2022.10001235","relation":{},"subject":[],"published":{"date-parts":[[2022,12,4]]}}}