{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:41:10Z","timestamp":1740102070453,"version":"3.37.3"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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","award":["61871186,61771322"],"award-info":[{"award-number":["61871186,61771322"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191447","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Class-Balanced Universal Perturbations for Adversarial Training"],"prefix":"10.1109","author":[{"given":"Kexue","family":"Ma","sequence":"first","affiliation":[{"name":"East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China"}]},{"given":"Guitao","family":"Cao","sequence":"additional","affiliation":[{"name":"East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China"}]},{"given":"Mengqian","family":"Xu","sequence":"additional","affiliation":[{"name":"East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China"}]},{"given":"Chunwei","family":"Wu","sequence":"additional","affiliation":[{"name":"East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China"}]},{"given":"Hong","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Research Institute of Microwave Equipment,Shanghai,China"}]},{"given":"Wenming","family":"Cao","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Shenzhen University,Shenzhen,China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6154"},{"key":"ref35","first-page":"4584","article-title":"Towards robust detection of adversarial examples","author":"pang","year":"2018","journal-title":"Advances in Neural Information Processing Systems 31 Annual Conference on Neural Information Processing Systems 2018 NeurIPS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16441"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/635"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6017"},{"key":"ref36","first-page":"4970","article-title":"Improving adversarial robustness via promoting ensemble diversity","volume":"97","author":"pang","year":"0","journal-title":"Proceedings of the 36th International Conference on Machine Learning ICML ser Proceedings of Machine Learning Research"},{"key":"ref31","first-page":"3353","article-title":"Adversarial training for free!","author":"shafahi","year":"2019","journal-title":"Advances in Neural Information Processing Systems 32 Annual Conference on Neural Information Processing Systems 2019 NeurIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00357"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01453"},{"key":"ref33","article-title":"UDH: universal deep hiding for steganography, watermarking, and light field messaging","author":"zhang","year":"2020","journal-title":"Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems 2020 NeurIPS"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1007\/978-3-030-69538-5_18","article-title":"Double targeted universal adversarial perturbations","volume":"12625","author":"benz","year":"2020","journal-title":"ACCV (4) ser Lecture Notes in Computer Science"},{"key":"ref32","first-page":"2470","article-title":"Defending against universal attack via curvature-aware category adversarial training","author":"du","year":"2022","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing ICASSP"},{"key":"ref2","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01456"},{"key":"ref17","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"ICLR International Conference on Learning Representations"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00503"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref18","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2017","journal-title":"ICLR International Conference on Learning Representations"},{"key":"ref24","first-page":"8562","article-title":"Art of singular vectors and universal adversarial perturbations","author":"khrulkov","year":"0","journal-title":"2018 IEEE Conference on Computer Vision and Pattern Recognition CVPR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/239"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2018.00015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00465"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506325"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00084"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2861800"},{"key":"ref29","article-title":"Towards datafree universal adversarial perturbations with artificial images","author":"zhang","year":"0","journal-title":"RobustML Workshop at ICLR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.17"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892637"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428419"},{"key":"ref4","article-title":"Adversarial distributional training for robust deep learning","author":"dong","year":"2020","journal-title":"Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems 2020 NeurIPS"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534119"},{"key":"ref6","article-title":"Mixup inference: Better exploiting mixup to defend adversarial attacks","author":"pang","year":"2020","journal-title":"ICLR International Conference on Learning Representations"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892759"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191447.pdf?arnumber=10191447","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:46:27Z","timestamp":1692639987000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191447\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191447","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}