{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:47:01Z","timestamp":1771458421537,"version":"3.50.1"},"reference-count":18,"publisher":"Tech Science Press","issue":"2","license":[{"start":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T00:00:00Z","timestamp":1740268800000},"content-version":"vor","delay-in-days":53,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2024.057866","type":"journal-article","created":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T02:53:56Z","timestamp":1735008836000},"page":"1947-1968","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":3,"title":["Exploratory Research on Defense against Natural Adversarial Examples in Image Classification"],"prefix":"10.32604","volume":"82","author":[{"given":"Yaoxuan","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","first-page":"1097","article-title":"ImageNet classfication with deep convolutional neural networks","author":"Krizhevsky","year":"2012","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"ref2","series-title":"Proc. ICLR","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Karen","year":"2015"},{"key":"ref3","series-title":"Proc. CVPR","article-title":"Going deeper with convolutions","author":"Szegedy","year":"2015"},{"key":"ref4","series-title":"Proc. CVPR","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"8704","DOI":"10.1109\/TPAMI.2019.2918284","article-title":"Convolutional networks with dense connectivity","volume":"44","author":"Huang","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref6","series-title":"Proc. CVPR","article-title":"A ConvNet for the 2020s","author":"Liu","year":"2022"},{"key":"ref7","first-page":"1","article-title":"PFCFuse: A poolformer and CNN fusion network for infrared-visible image fusion","volume":"73","author":"Hu","year":"2024","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref8","first-page":"520","article-title":"Decision fusion of CNN and SRC with application to SAR target recognition","volume":"51","author":"Lu","year":"2022","journal-title":"Infrared Laser Eng."},{"key":"ref9","series-title":"Proc. ICLR","article-title":"Intriguing properties of neural networks","author":"Szegedy","year":"2014"},{"key":"ref10","unstructured":"M. Lee and Z. Kolter, \u201cOn physical adversarial patches for object detection,\u201d Statistics, 2019. doi: 10.48550\/arXiv.1906.11897."},{"key":"ref11","series-title":"Proc. CVPR","article-title":"Adversarial camouflage: Hiding physical-world attacks with natural styles","author":"Duan","year":"2020"},{"key":"ref12","series-title":"Proc. CVPR","article-title":"Natural adversarial examples","author":"Hendrycks","year":"2021"},{"key":"ref13","series-title":"Proc. CVPR","article-title":"Learning deep features for discriminative localization","author":"Zhou","year":"2016"},{"key":"ref14","series-title":"Proc. IEEE Int. Conf. Comput. Vis.","first-page":"618","article-title":"Grad-CAM: Visual explanations from deep networks via gradient-based localization","author":"Selvaraju","year":"2017"},{"key":"ref15","series-title":"Proc. Int. Conf. Learn. Rep.","article-title":"Noise or signal: The role of image backgrounds in object recognition","author":"Xiao","year":"2021"},{"key":"ref16","series-title":"Proc. ICCV","article-title":"Revisiting unreasonable effectiveness of data in deep learning era","author":"Sun","year":"2017"},{"key":"ref17","series-title":"Proc. AAAI Conf. Artif. Intell.","article-title":"Deep frequency principle towards understanding why deeper learning is faster","author":"Xu","year":"2021"},{"key":"ref18","series-title":"Proc. ECCV","article-title":"Is robustness the cost of accuracy?\u2014 A comprehensive study on the robustness of 18 deep image classification models","author":"Su","year":"2018"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-82-2\/TSP_CMC_57866\/TSP_CMC_57866.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:10:03Z","timestamp":1763100603000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n2\/59458"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":18,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.057866","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2024-08-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-13","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-02-17","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}