{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:32:41Z","timestamp":1761895961180,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209369","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":["PSFD: Proactive Spatial-Frequency Defense against Malicious Exemplar-Guided Image Editing"],"prefix":"10.1109","author":[{"given":"Li","family":"Zeng","sequence":"first","affiliation":[{"name":"Xiangtan University,Xiangtan,China"}]},{"given":"Xiaojun","family":"Mo","sequence":"additional","affiliation":[{"name":"Xiangtan University,Xiangtan,China"}]},{"given":"Meng","family":"Xie","sequence":"additional","affiliation":[{"name":"Xiangtan University,Xiangtan,China"}]},{"given":"Hangtao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}]},{"given":"Yixiang","family":"Liu","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Shenzhen,China"}]},{"given":"Yezhuo","family":"Peng","sequence":"additional","affiliation":[{"name":"Xiangtan University,Xiangtan,China"}]},{"given":"Yanchun","family":"Li","sequence":"additional","affiliation":[{"name":"Xiangtan University,Xiangtan,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02051"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01763"},{"key":"ref4","first-page":"2187","article-title":"Glaze: Protecting artists from style mimicry by {Text-to-Image} models","author":"Shan","year":"2023","journal-title":"USENIX Security"},{"article-title":"Mist: Towards improved adversarial examples for diffusion models","year":"2023","author":"Liang","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3351702"},{"key":"ref7","first-page":"49 859","article-title":"Darksam: Fooling segment anything model to segment nothing","volume":"37","author":"Zhou","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/icassp49660.2025.10890418"},{"article-title":"Raising the cost of malicious ai-powered image editing","year":"2023","author":"Salman","key":"ref9"},{"key":"ref10","article-title":"Fawkes: Protecting personal privacy against unauthorized deep learning models","author":"Shan","year":"2020","journal-title":"ICCV"},{"key":"ref11","first-page":"1670","article-title":"Detector collapse: backdooring object detection to catastrophic overload or blindness in the physical world","author":"Zhang","year":"2024","journal-title":"IJCAI"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612454"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i8.32870"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-03073-x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3721479"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00246"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3592133"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/508"},{"key":"ref19","article-title":"Unlearnable 3d point clouds: Class-wise transformation is all you need","author":"Wang","year":"2024","journal-title":"NeurIPS"},{"article-title":"Trojanrobot: Backdoor attacks against robotic manipulation in the physical world","year":"2024","author":"Wang","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3369751"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02270"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102701"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02078"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"article-title":"Towards deep learning models resistant to adversarial attacks","year":"2017","author":"Madry","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\/11209369.pdf?arnumber=11209369","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T06:03:18Z","timestamp":1761890598000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209369\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209369","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}