{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T13:37:51Z","timestamp":1770817071400,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"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":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506278","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"2543-2547","source":"Crossref","is-referenced-by-count":34,"title":["AI-GAN: Attack-Inspired Generation of Adversarial Examples"],"prefix":"10.1109","author":[{"given":"Tao","family":"Bai","sequence":"first","affiliation":[{"name":"Nanyang Technological University"}]},{"given":"Jun","family":"Zhao","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}]},{"given":"Jinlin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}]},{"given":"Shoudong","family":"Han","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology"}]},{"given":"Jiefeng","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison"}]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}]},{"given":"Alex","family":"Kot","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Don’t let your discriminator be fooled","volume":"2019","author":"zhou","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01149"},{"key":"ref12","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2016","journal-title":"arXiv preprint arXiv 1607 02533"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140448"},{"key":"ref14","first-page":"234","article-title":"U-net: Convolutional Networks for Biomedical Image Segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","article-title":"Gap++: Learning to generate target-conditioned adversarial examples","author":"mao","year":"2020","journal-title":"arXiv preprint arXiv 2006 04989"},{"key":"ref17","first-page":"2642","article-title":"Conditional image synthesis with auxiliary classifier gans","volume":"2017","author":"odena","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning ICML 2017"},{"key":"ref18","article-title":"Ensemble adversarial training: Attacks and defenses","author":"tram\u00e8r","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.5244\/C.30.87","article-title":"Wide residual networks","volume":"2016","author":"zagoruyko","year":"2016","journal-title":"Proceedings of the British Machine Vision Conference 2016 BMVC 2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref6","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Annual Conference on Neural Information Processing Systems 2014"},{"key":"ref5","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00465"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/543"},{"key":"ref2","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"3rd International Conference on Learning Representations ICLR 2015 Conference Track Proceedings"},{"key":"ref1","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2014","journal-title":"International Conference on Learning Representations"},{"key":"ref9","first-page":"8322","article-title":"Constructing unrestricted adversarial examples with generative models","author":"song","year":"2018","journal-title":"Advances in Neural Information Processing Systems 31 Annual Conference on Neural Information Processing Systems 2018"},{"key":"ref20","article-title":"Defense-gan: Protecting classifiers against adversarial attacks using generative models","author":"samangouei","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"key":"ref21","article-title":"Bag of tricks for adversarial training","author":"pang","year":"2020","journal-title":"arXiv preprint arXiv 2010 00170"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","location":"Anchorage, AK, USA","start":{"date-parts":[[2021,9,19]]},"end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506278.pdf?arnumber=9506278","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T21:12:41Z","timestamp":1655154761000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506278\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506278","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}