{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T18:37:34Z","timestamp":1763663854964},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/icme.2018.8486579","type":"proceedings-article","created":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T18:34:18Z","timestamp":1539282858000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector"],"prefix":"10.1109","author":[{"given":"Huy H.","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Ngoc-Dung T.","family":"Tieu","sequence":"additional","affiliation":[]},{"given":"Hoang-Quoe","family":"Nguyen-Son","sequence":"additional","affiliation":[]},{"given":"Junichi","family":"Yamagishi","sequence":"additional","affiliation":[]},{"given":"Isao","family":"Echizen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","author":"djork-arn\u00e9","year":"2016","journal-title":"ICLRE"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref12","article-title":"Deep multi-scale video prediction beyond mean square error","author":"mathieu","year":"2016","journal-title":"ICLRE"},{"key":"ref13","first-page":"658","article-title":"Generating images with perceptual similarity metrics based on deep networks","author":"dosovitskiy","year":"2016","journal-title":"NIPS"},{"key":"ref14","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"},{"key":"ref15","article-title":"Photo-realistic single image super-resolution using a generative adversarial network","author":"ledig","year":"2016","journal-title":"Computing Research Repository (CoRR)"},{"key":"ref16","first-page":"1234","article-title":"Discrimination between computer generated and natural human faces based on asymmetry information","author":"duc-tien dang-nguyen","year":"2012","journal-title":"IEEE EUSIPCO"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2009.58"},{"key":"ref18","article-title":"Caltech frontal face database","author":"weber","year":"1999","journal-title":"California Institute of Technology"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.315"},{"key":"ref4","first-page":"39","article-title":"Discriminating between computer-generated facial images and natural ones using smoothness property and local entropy","author":"huy","year":"2015","journal-title":"IWDW"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2016.11.009"},{"key":"ref6","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NIPS"},{"key":"ref5","first-page":"43","article-title":"Adversarial machine learning","author":"ling","year":"2011","journal-title":"ACM workshop on Security and Artificial Intelligence"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2011.6115849"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.262"},{"key":"ref9","first-page":"448","article-title":"Sergey Ioffe and Christian Szegedy, &#x201C;Batch normalization: Accelerating deep network training by reducing internal covariate shift","year":"2015","journal-title":"ICML"},{"key":"ref20","first-page":"87","article-title":"MS-Celeb-1M: A dataset and benchmark for large scale face recognition","author":"guo","year":"2016","journal-title":"ECCV"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"}],"event":{"name":"2018 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2018,7,23]]},"location":"San Diego, CA","end":{"date-parts":[[2018,7,27]]}},"container-title":["2018 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8472825\/8486434\/08486579.pdf?arnumber=8486579","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T12:14:42Z","timestamp":1643199282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8486579\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icme.2018.8486579","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}