{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T10:53:00Z","timestamp":1769856780718,"version":"3.49.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3162874","type":"journal-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T20:51:04Z","timestamp":1648500664000},"page":"34872-34882","source":"Crossref","is-referenced-by-count":3,"title":["Evaluating Adversarial Robustness of Secret Key-Based Defenses"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1997-5209","authenticated-orcid":false,"given":"Ziad Tariq Muhammad","family":"Ali","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Kuwait University, Kuwait City, Kuwait"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9494-8809","authenticated-orcid":false,"given":"Ameer","family":"Mohammed","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Kuwait University, Kuwait City, Kuwait"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0673-7324","authenticated-orcid":false,"given":"Imtiaz","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Kuwait University, Kuwait City, Kuwait"}]}],"member":"263","reference":[{"key":"ref33","article-title":"On evaluating adversarial robustness","author":"carlini","year":"2019","journal-title":"arXiv 1902 06705"},{"key":"ref32","first-page":"10","article-title":"EAD: Elastic-net attacks to deep neural networks via adversarial examples","volume":"32","author":"chen","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IPCCC51483.2021.9679424"},{"key":"ref30","article-title":"An overview of compressible and learnable image transformation with secret key and its applications","author":"kiya","year":"2022","journal-title":"arXiv 2201 11006"},{"key":"ref35","article-title":"Improving adversarial robustness requires revisiting misclassified examples","author":"wang","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","article-title":"On adaptive attacks to adversarial example defenses","author":"tramer","year":"2020","journal-title":"arXiv 2002 08347"},{"key":"ref11","article-title":"Transferability in machine learning: From phenomena to black-box attacks using adversarial samples","author":"papernot","year":"2016","journal-title":"arXiv 1605 07277"},{"key":"ref12","first-page":"1","article-title":"Query-efficient hard-label black-box attack: An optimization-based approach","author":"cheng","year":"2019","journal-title":"Proc 7th Int Conf Learn Represent (ICLR)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140448"},{"key":"ref14","first-page":"1","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent (ICLR)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_29"},{"key":"ref16","first-page":"2206","article-title":"Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks","author":"croce","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-China.2018.8448772"},{"key":"ref18","author":"lecun","year":"1998","journal-title":"The MNIST Database of Handwritten Digits"},{"key":"ref19","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017","journal-title":"ArXiv 1708 07747"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-TW52618.2021.9602969"},{"key":"ref4","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2016","journal-title":"arXiv 1607 02533"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3074968"},{"key":"ref3","first-page":"1","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"Proc 6th Int Conf Learn Represent (ICLR)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12028"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1017\/ATSIP.2021.9"},{"key":"ref5","article-title":"Feature squeezing: Detecting adversarial examples in deep neural networks","author":"xu","year":"2017","journal-title":"arXiv 1704 01155"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3062977"},{"key":"ref7","first-page":"274","article-title":"Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples","volume":"80","author":"athalye","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn (ICML)"},{"key":"ref2","first-page":"1","article-title":"Countering adversarial images using input transformations","author":"guo","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01148"},{"key":"ref1","first-page":"1","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2014","journal-title":"Proc 2nd Int Conf Learn Represent (ICLR)"},{"key":"ref20","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190904"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506147"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE53005.2021.9621775"},{"key":"ref26","article-title":"Security evaluation of block-based image encryption for vision transformer against jigsaw puzzle solver attack","author":"chuman","year":"2022","journal-title":"arXiv 2202 00806"},{"key":"ref25","article-title":"Adversarial detector with robust classifier","author":"osakabe","year":"2022","journal-title":"arXiv 2202 02503"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09743900.pdf?arnumber=9743900","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T22:29:07Z","timestamp":1653949747000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9743900\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3162874","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}