{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:52:17Z","timestamp":1740142337748,"version":"3.37.3"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shandong Provincial Natural Science Foundation, China","award":["ZR2022YQ61"],"award-info":[{"award-number":["ZR2022YQ61"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772551","62111530052","62102337","62122066"],"award-info":[{"award-number":["61772551","62111530052","62102337","62122066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shandong Provincial Natural Science Foundation, China","award":["ZR2023ZD32"],"award-info":[{"award-number":["ZR2023ZD32"]}]},{"DOI":"10.13039\/501100004761","name":"Natural Science Foundation of Hainan Province","doi-asserted-by":"publisher","award":["2023JJ40174"],"award-info":[{"award-number":["2023JJ40174"]}],"id":[{"id":"10.13039\/501100004761","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Graduate Innovation Projects of China University of Petroleum","award":["YCX2021119"],"award-info":[{"award-number":["YCX2021119"]}]},{"name":"Fundamental Research Funds for the Central Universities, China","award":["22CX01003A-9"],"award-info":[{"award-number":["22CX01003A-9"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tii.2023.3342447","type":"journal-article","created":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T20:11:55Z","timestamp":1704139915000},"page":"6222-6233","source":"Crossref","is-referenced-by-count":2,"title":["Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5319-517X","authenticated-orcid":false,"given":"Junjian","family":"Li","sequence":"first","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0739-6338","authenticated-orcid":false,"given":"Honglong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6221-8142","authenticated-orcid":false,"given":"Peng","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5804-3279","authenticated-orcid":false,"given":"Zhibo","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4797-6751","authenticated-orcid":false,"given":"Zhichen","family":"Ni","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5388-9080","authenticated-orcid":false,"given":"Weifeng","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2916709"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3190352"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3170149"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3045393"},{"key":"ref5","first-page":"443","article-title":"Seeing is not believing: Camouflage attacks on image scaling algorithms","volume-title":"Proc. USENIX Secur. Symp.","author":"Xiao","year":"2019"},{"key":"ref6","first-page":"1363","article-title":"Adversarial preprocessing: Understanding and preventing image-scaling attacks in machine learning","volume-title":"Proc. USENIX Secur. Symp.","author":"Quiring","year":"2020"},{"article-title":"End to end learning for self-driving cars","year":"2016","author":"Bojarski","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.2971601"},{"key":"ref9","first-page":"1","article-title":"Intriguing properties of neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Szegedy","year":"2014"},{"key":"ref10","first-page":"1","article-title":"Explaining and harnessing adversarial examples","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Goodfellow","year":"2015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/233"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19772-7_32"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01481"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23291"},{"key":"ref17","first-page":"3454","article-title":"Input-aware dynamic backdoor attack","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Nguyen","year":"2020"},{"key":"ref18","first-page":"1","article-title":"Backdoor attack in the physical world","volume-title":"Proc. Int. Conf. Learn. Representations Workshops","author":"Li","year":"2021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3423362"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01615"},{"key":"ref21","first-page":"1299","article-title":"When does machine learning $FAIL$? Generalized transferability for evasion and poisoning attacks","volume-title":"Proc. USENIX Secur. Symp.","author":"Suciu","year":"2018"},{"key":"ref22","first-page":"6106","article-title":"Poison frogs! Targeted clean-label poisoning attacks on neural networks","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Shafahi","year":"2018"},{"key":"ref23","first-page":"12080","article-title":"MetaPoison: Practical general-purpose clean-label data poisoning","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Huang","year":"2020"},{"key":"ref24","first-page":"7614","article-title":"Transferable clean-label poisoning attacks on deep neural nets","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP51992.2021.00021"},{"key":"ref26","first-page":"7102","article-title":"Rethinking image-scaling attacks: The interplay between vulnerabilities in machine learning systems","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gao","year":"2022"},{"article-title":"Adversarial raw: Image-scaling attack against imaging pipeline","year":"2022","author":"Li","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1984.1164399"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2980170"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00219"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00754"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025068"},{"year":"2021","key":"ref34","article-title":"Vehicles"},{"year":"2019","key":"ref35","article-title":"Garbages"},{"key":"ref36","first-page":"1","article-title":"Countering adversarial images using input transformations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Guo","year":"2018"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/10492621\/10378653.pdf?arnumber=10378653","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T19:53:38Z","timestamp":1735588418000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10378653\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":36,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tii.2023.3342447","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"type":"print","value":"1551-3203"},{"type":"electronic","value":"1941-0050"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}