{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:39:14Z","timestamp":1769557154660,"version":"3.49.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T00:00:00Z","timestamp":1671494400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T00:00:00Z","timestamp":1671494400000},"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":[[2022,12,20]]},"DOI":"10.1109\/rivf55975.2022.10013900","type":"proceedings-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T18:54:15Z","timestamp":1674068055000},"page":"612-617","source":"Crossref","is-referenced-by-count":6,"title":["Deepfake Detection using EfficientNet: Working Towards Dense Sampling and Frames Selection"],"prefix":"10.1109","author":[{"given":"Tuan-An","family":"To","sequence":"first","affiliation":[{"name":"University of Science, VNUHCM,Faculty of Information Technology and Software Engineering Laboratory,Ho Chi Minh City,Vietnam"}]},{"given":"Hoang-Chau","family":"Luong","sequence":"additional","affiliation":[{"name":"University of Science, VNUHCM,Faculty of Information Technology and Software Engineering Laboratory,Ho Chi Minh City,Vietnam"}]},{"given":"Nham-Tan","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Science, VNUHCM,Faculty of Information Technology and Software Engineering Laboratory,Ho Chi Minh City,Vietnam"}]},{"given":"Trong-Tin","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Science, VNUHCM,Faculty of Information Technology and Software Engineering Laboratory,Ho Chi Minh City,Vietnam"}]},{"given":"Minh-Triet","family":"Tran","sequence":"additional","affiliation":[{"name":"Viet Nam National University,Ho Chi Minh City,Vietnam"}]},{"given":"Trong-Le","family":"Do","sequence":"additional","affiliation":[{"name":"Viet Nam National University,Ho Chi Minh City,Vietnam"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.22215\/timreview\/1282"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fsisyn.2022.100217"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2018.8639163"},{"key":"ref5","volume-title":"Deepfakes. deepfakes","year":"2017"},{"key":"ref6","author":"Manke","journal-title":"Researchers use facial quirks to unmask \u2018deepfakes"},{"key":"ref7","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"International conference on machine learning. PMLR","author":"Tan","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"ref9","volume-title":"Mtcnn. mtcnn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/I-SMAC49090.2020.9243588"},{"key":"ref11","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv preprint"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-70139-4","article-title":"Unsupervised image-to-image translation networks","volume":"30","author":"Liu","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2190402"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3082031.3083247"},{"key":"ref18","article-title":"Faceforensics: A large-scale video dataset for forgery detection in human faces","author":"R\u00f6ssler","year":"2018","journal-title":"arXiv preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw.2017.228"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.229"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2916364"},{"key":"ref22","article-title":"In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking","author":"Li","year":"2018","journal-title":"arXiv preprint"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.262"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2018.8630761"},{"key":"ref25","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume":"abs\/1905.11946","author":"Tan","year":"2019","journal-title":"CoRR"},{"key":"ref26","article-title":"Deep residual learning for image recognition","volume":"abs\/1512.03385","author":"He","year":"2015","journal-title":"CoRR"}],"event":{"name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","location":"Ho Chi Minh City, Vietnam","start":{"date-parts":[[2022,12,20]]},"end":{"date-parts":[[2022,12,22]]}},"container-title":["2022 RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10013784\/10013785\/10013900.pdf?arnumber=10013900","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T06:53:36Z","timestamp":1707807216000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10013900\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,20]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/rivf55975.2022.10013900","relation":{},"subject":[],"published":{"date-parts":[[2022,12,20]]}}}