{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T21:15:50Z","timestamp":1764018950872,"version":"3.37.3"},"reference-count":66,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007065","name":"NVIDIA Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/fg52635.2021.9667009","type":"proceedings-article","created":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T05:34:23Z","timestamp":1643175263000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Adversarial Attacks on Kinship Verification using Transformer"],"prefix":"10.1109","author":[{"given":"Jiaxuan","family":"Zhu","sequence":"first","affiliation":[{"name":"Southeast University,School of Automation,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Shao","sequence":"additional","affiliation":[{"name":"Northeastern University,Department of ECE,Boston,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Xia","sequence":"additional","affiliation":[{"name":"ShangHai Jiao Tong University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Pan","sequence":"additional","affiliation":[{"name":"Swinburne University of Technology,Hawthorn,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyu","family":"Xia","sequence":"additional","affiliation":[{"name":"Southeast University,School of Automation,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1061","article-title":"Hamming distance metric learning","volume":"25","author":"norouzi","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref38","first-page":"2574","article-title":"Deepfool: a simple and accurate method to fool deep neural networks","author":"moosavi-dezfooli","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.56"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2717505"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01149"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41501-7_60"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.17"},{"key":"ref36","article-title":"Yet another but more efficient black-box adversarial attack: tiling and evolution strategies","author":"meunier","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref35","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref34","first-page":"331","article-title":"Neighborhood repulsed metric learning for kinship verification","volume":"36","author":"lu","year":"2013","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532893"},{"key":"ref62","first-page":"351","article-title":"Structured siamese network for real-time visual tracking","author":"zhang","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref61","article-title":"Advkin: Adversarial convolutional network for kinship verification","author":"zhang","year":"2020","journal-title":"IEEE Transactions on Cybernetics"},{"journal-title":"Kinship verification with deep convolutional neural networks","year":"2015","author":"zhang","key":"ref63"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6791"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.11.048"},{"key":"ref27","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref65","article-title":"Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers","author":"zheng","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2071911"},{"key":"ref29","article-title":"Adversarial machine learning at scale","author":"kurakin","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref2","article-title":"Decision-based adversarial attacks: Reliable attacks against black-box machine learning models","author":"brendel","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref1","article-title":"Adversarial transformation networks: Learning to generate adversarial examples","author":"baluja","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00508"},{"key":"ref22","first-page":"252","article-title":"Large margin multi-metric learning for face and kinship verification in the wild","author":"hu","year":"2014","journal-title":"Asian Conference on Computer Vision"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00257"},{"key":"ref23","first-page":"4700","article-title":"Densely connected convolutional networks","author":"huang","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2609811"},{"key":"ref25","article-title":"Transgan: Two transformers can make one strong gan","author":"jiang","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref50","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref51","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803647"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01161"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2327757"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.03.001"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.29007\/6bnf"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2187436"},{"key":"ref53","article-title":"Kinship verification through transfer learning","author":"xia","year":"2011","journal-title":"Twenty-Second International Joint Conference on Artificial Intelligence"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107342"},{"key":"ref10","first-page":"1","article-title":"Advfaces: Adversarial face synthesis","author":"deb","year":"2019","journal-title":"2020 IEEE International Joint Conference on Biometrics (IJCB)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00957"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00790"},{"key":"ref13","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref14","article-title":"Query-efficient meta attack to deep neural networks","author":"du","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.187"},{"key":"ref16","article-title":"Taming transformers for high-resolution image synthesis","author":"esser","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2010.5652590"},{"key":"ref18","article-title":"Generative adversarial networks","author":"goodfellow","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref19","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref3","first-page":"213","article-title":"End-to-end object detection with transformers","author":"carion","year":"2020","journal-title":"European Conference on Computer Vision"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140448"},{"key":"ref5","first-page":"1691","article-title":"Generative pretraining from pixels","author":"chen","year":"2020","journal-title":"International Conference on Machine Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.29007\/l734"},{"key":"ref49","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013","journal-title":"arXiv nrenrint"},{"key":"ref9","article-title":"Houdini: Fooling deep structured prediction models","author":"cisse","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref46","article-title":"Upset and angri: Breaking high performance image classifiers","author":"sarkar","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref45","article-title":"Bayesopt adversarial attack","author":"ru","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref48","article-title":"Deep learning face representation by joint identification-verification","author":"sun","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2890858"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2461462"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2826549"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967219"}],"event":{"name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","start":{"date-parts":[[2021,12,15]]},"location":"Jodhpur, India","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9666787\/9666788\/09667009.pdf?arnumber=9667009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:31:40Z","timestamp":1659483100000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9667009\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":66,"URL":"https:\/\/doi.org\/10.1109\/fg52635.2021.9667009","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}