{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:18:04Z","timestamp":1782843484641,"version":"3.54.5"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"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":[[2024,7,15]]},"DOI":"10.1109\/icme57554.2024.10688355","type":"proceedings-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:24:16Z","timestamp":1727717056000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing"],"prefix":"10.1109","author":[{"given":"ZhenZhe","family":"Gao","sequence":"first","affiliation":[{"name":"East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing,Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenjun","family":"Tang","sequence":"additional","affiliation":[{"name":"Guangxi Normal University,Guangxi Key Lab of Multi-Source Information Mining &amp; Security,Guilin,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaoxia","family":"Yin","sequence":"additional","affiliation":[{"name":"East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing,Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoyuan","family":"Wu","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong,Shenzhen Research Institute of Big Data,Shenzhen,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Lu","sequence":"additional","affiliation":[{"name":"East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing,Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00486"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED48828.2020.9137011"},{"key":"ref4","author":"Gu","year":"2017","journal-title":"Badnets: Identifying vulnerabilities in the machine learning model supply chain"},{"key":"ref5","article-title":"Learning both weights and connections for efficient neural network","volume":"28","author":"Han","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref6","author":"Gong","year":"2014","journal-title":"Compressing deep convolutional networks using vector quantization"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s44267-023-00031-w"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2015.152"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586290"},{"key":"ref10","author":"Yin","year":"2023","journal-title":"Decision-based iterative fragile watermarking for model integrity verification"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2023.103779"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s44267-023-00033-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s44267-024-00038-x"},{"key":"ref14","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume-title":"Proceedings of the fourteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings","author":"Glorot"}],"event":{"name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","location":"Niagara Falls, ON, Canada","start":{"date-parts":[[2024,7,15]]},"end":{"date-parts":[[2024,7,19]]}},"container-title":["2024 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10685847\/10687354\/10688355.pdf?arnumber=10688355","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T06:43:51Z","timestamp":1727765031000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10688355\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,15]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/icme57554.2024.10688355","relation":{},"subject":[],"published":{"date-parts":[[2024,7,15]]}}}