{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T19:56:04Z","timestamp":1785182164582,"version":"3.55.0"},"reference-count":30,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/wifs.2018.8630761","type":"proceedings-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:51:36Z","timestamp":1548982296000},"page":"1-7","source":"Crossref","is-referenced-by-count":1446,"title":["MesoNet: a Compact Facial Video Forgery Detection Network"],"prefix":"10.1109","author":[{"given":"Darius","family":"Afchar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent","family":"Nozick","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junichi","family":"Yamagishi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isao","family":"Echizen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"preprint arXiv 1511 07122"},{"key":"ref10","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 01032"},{"key":"ref11","first-page":"3","article-title":"Image noise and digital image forensics","volume":"9569","author":"julliand","year":"2015","journal-title":"14th International Workshop Digital-Forensics and Watermarking IWDW 2015"},{"key":"ref12","first-page":"1755","article-title":"Dlib-ml: A machine learning toolkit","volume":"10","author":"king","year":"2009","journal-title":"Journal of Machine Learning Research"},{"key":"ref13","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref14","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1854229.1854240"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1017\/ATSIP.2012.2"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1109\/WIFS.2017.8267647","article-title":"Distinguishing computer graphics from natural images using convolution neural networks","author":"rahmouni","year":"2017","journal-title":"IEEE Workshop on Information Forensics and Security WIFS 2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2016.7823911"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-010-0620-1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1161366.1161375"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2909827.2930786"},{"key":"ref6","first-page":"1","article-title":"Visualizing higher-layer features of a deep network","volume":"1341","author":"erhan","year":"2009","journal-title":"University of Montreal"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88961-8_6"},{"key":"ref5","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.931079"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2620030"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2017.09.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.537"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1068\/p7696"},{"key":"ref20","article-title":"Faceforensics: A large-scale video dataset for forgery detection in human faces","author":"rossler","year":"2018","journal-title":"arXiv preprint arXiv 1803 09179"},{"key":"ref22","article-title":"Single image superresolution with dilated convolution based multi-scale information learning inception module","author":"shi","year":"2017","journal-title":"arXiv preprint arXiv 1707 07816"},{"key":"ref21","article-title":"Humans are easily fooled by digital images","author":"schetinger","year":"2015","journal-title":"arXiv preprint arXiv 1509 05301"},{"key":"ref24","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref23","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2929464.2929475"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"}],"event":{"name":"2018 IEEE International Workshop on Information Forensics and Security (WIFS)","location":"Hong Kong, Hong Kong","start":{"date-parts":[[2018,12,11]]},"end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Workshop on Information Forensics and Security (WIFS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8627366\/8630758\/08630761.pdf?arnumber=8630761","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:54:41Z","timestamp":1643241281000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8630761\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/wifs.2018.8630761","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}