{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:16:19Z","timestamp":1761894979144,"version":"build-2065373602"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11210201","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Feature and Temporal Disruption Attacks from Images to Videos"],"prefix":"10.1109","author":[{"given":"Zhanpeng","family":"Liu","sequence":"first","affiliation":[{"name":"Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University,Xiamen,China"}]},{"given":"Yuqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hubei University,School of Artificial Intelligence,Wuhan,China"}]},{"given":"Tianlong","family":"Yu","sequence":"additional","affiliation":[{"name":"Hubei University,School of Artificial Intelligence,Wuhan,China"}]},{"given":"Xi","family":"Lin","sequence":"additional","affiliation":[{"name":"Xiamen University,Institute of Artificial Intelligence,Xiamen,China"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Hubei University,School of Artificial Intelligence,Wuhan,China"}]},{"given":"Chenxi","family":"Huang","sequence":"additional","affiliation":[{"name":"Xiamen University,Institute of Artificial Intelligence,Xiamen,China"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University,Xiamen,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19772-7_1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00037"},{"article-title":"Intriguing properties of neural networks","year":"2013","author":"Szegedy","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23202"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018973"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351088"},{"article-title":"Delving into transferable adversarial examples and black-box attacks","year":"2016","author":"Liu","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01464"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25362"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00399"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612110"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20168"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.3029799"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"Kingma","key":"ref17"},{"article-title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","year":"2012","author":"Soomro","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00630"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00067"},{"article-title":"One weird trick for parallelizing convolutional neural networks","year":"2014","author":"Krizhevsky","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and\u00a1 0.5 mb model size","year":"2016","author":"Iandola","key":"ref25"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref26"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11210201.pdf?arnumber=11210201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:40:21Z","timestamp":1761889221000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11210201\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11210201","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}