{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T06:53:17Z","timestamp":1781506397752,"version":"3.54.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U19B2004"],"award-info":[{"award-number":["U19B2004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Fund for Science and Technology of Guangdong Province","award":["2019SDR002"],"award-info":[{"award-number":["2019SDR002"]}]},{"name":"Key Project of Earth Observation and Navigation","award":["2017YFB0504100"],"award-info":[{"award-number":["2017YFB0504100"]}]},{"name":"Equipment Project of the Equipment Development Department","award":["41412010702"],"award-info":[{"award-number":["41412010702"]}]},{"name":"Major R&amp;D Platform Project of New R&amp;D Institutions in Zhongshan City","award":["2017F1FC0001"],"award-info":[{"award-number":["2017F1FC0001"]}]},{"name":"Special Innovation Project of High-end Scientific Research Institutions in Zhongshan City","award":["181129112748101"],"award-info":[{"award-number":["181129112748101"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tc.2021.3065172","type":"journal-article","created":{"date-parts":[[2021,3,11]],"date-time":"2021-03-11T21:08:03Z","timestamp":1615496883000},"page":"301-313","source":"Crossref","is-referenced-by-count":23,"title":["FAWA: Fast Adversarial Watermark Attack"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8533-1612","authenticated-orcid":false,"given":"Hao","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4713-4893","authenticated-orcid":false,"given":"Jintao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5184-4359","authenticated-orcid":false,"given":"Guang","family":"Hua","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixia","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan Digital Engineering Institute, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[{"name":"Wuhan Digital Engineering Institute, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shenghui","family":"Tu","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s20061677"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC19947.2020.9063049"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15398-4_13"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2018.07.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-49556-5_4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60239-0_19"},{"key":"ref7","first-page":"1","article-title":"Explaining and harnessing adversarial examples","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Goodfellow"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3048038"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1201\/9781351251389-8"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.06083"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413976"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/5.982406"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1997.647965"},{"key":"ref15","first-page":"1","article-title":"Adversarial patch","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Brown"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/4313769"},{"key":"ref17","first-page":"1625","article-title":"Robust Physical-World Attacks on Deep Learning Visual Classification","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Evtimov"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2020.110767"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/358198.358222"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2890858"},{"key":"ref21","first-page":"1","article-title":"Certified defenses for adversarial patches","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chiang"},{"key":"ref22","volume-title":"Aliyun image recognition APIs"},{"key":"ref23","first-page":"1","article-title":"Intriguing properties of neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Szegedy"},{"key":"ref24","first-page":"6808","article-title":"Wasserstein adversarial examples via projected sinkhorn iterations","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Wong"},{"key":"ref25","first-page":"1","article-title":"Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ghiasi"},{"key":"ref26","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00012"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011028"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.41"},{"key":"ref30","article-title":"Detecting adversarial samples from artifacts","author":"Feinman","year":"2017"},{"key":"ref31","article-title":"FenceBox: A platform for defeating adversarial examples with data augmentation techniques","author":"Qiu","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MMCS.1999.779263"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1049\/el:20010838"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1998.723653"},{"key":"ref35","first-page":"1802","article-title":"Exploring the landscape of spatial robustness","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Engstrom"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref42","article-title":"Caltech-256 object category dataset","author":"Griffin","year":"2007"},{"key":"ref43","first-page":"1","article-title":"Striving for simplicity: The all convolutional net","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Springenberg"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00020"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/10400065\/09376658.pdf?arnumber=9376658","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T01:21:04Z","timestamp":1705540864000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9376658\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":45,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tc.2021.3065172","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}