{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:21:04Z","timestamp":1775035264239,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,30]]},"DOI":"10.1109\/cnml68938.2026.11453121","type":"proceedings-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:49:32Z","timestamp":1774986572000},"page":"328-331","source":"Crossref","is-referenced-by-count":0,"title":["Phase-Based Invisible Backdoor Attack"],"prefix":"10.1109","author":[{"given":"Chengyi","family":"Qiu","sequence":"first","affiliation":[{"name":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"}]},{"given":"Ke","family":"Xu","sequence":"additional","affiliation":[{"name":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"}]},{"given":"Wenxun","family":"Wang","sequence":"additional","affiliation":[{"name":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"}]},{"given":"Keping","family":"Xiao","sequence":"additional","affiliation":[{"name":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref2","article-title":"Yolov4: Optimal speed and accuracy of object detection","volume":"abs\/2004.10934","author":"Bochkovskiy","year":"2020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00062"},{"key":"ref5","volume-title":"Vertex ai - machine learning platform","year":"2024"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909068"},{"key":"ref9","article-title":"Targeted backdoor attacks on deep learning systems using data poisoning","author":"Chen","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19778-9_23"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00403"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.27954"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10448363"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2022.24012"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10888330"},{"key":"ref17","article-title":"Learning multiple layers of features from tiny images","volume-title":"Tech. Rep.","author":"Krizhevsky","year":"2009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.016"},{"key":"ref19","article-title":"Imagenette: A smaller subset of 10 easily classified classes from imagenet","author":"Howard","year":"2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00031"},{"key":"ref24","first-page":"19 837","article-title":"Reconstructive neuron pruning for backdoor defense","volume-title":"International Conference on Machine Learning","author":"Li"}],"event":{"name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","location":"Chongqing, China","start":{"date-parts":[[2026,1,30]]},"end":{"date-parts":[[2026,2,1]]}},"container-title":["2026 International Conference on Communication Networks and Machine Learning (CNML)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11452215\/11452251\/11453121.pdf?arnumber=11453121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:24:21Z","timestamp":1775024661000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11453121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,30]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/cnml68938.2026.11453121","relation":{},"subject":[],"published":{"date-parts":[[2026,1,30]]}}}