{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T07:11:13Z","timestamp":1773040273375,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"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":[[2020,12,1]]},"DOI":"10.1109\/ssci47803.2020.9308305","type":"proceedings-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T23:12:38Z","timestamp":1609888358000},"page":"707-712","source":"Crossref","is-referenced-by-count":14,"title":["Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection"],"prefix":"10.1109","author":[{"given":"Chau Xuan Truong","family":"Du","sequence":"first","affiliation":[]},{"given":"Le Hoang","family":"Duong","sequence":"additional","affiliation":[]},{"given":"Huynh Thanh","family":"Trung","sequence":"additional","affiliation":[]},{"given":"Pham Minh","family":"Tam","sequence":"additional","affiliation":[]},{"given":"Nguyen Quoc Viet","family":"Hung","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Jo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00248"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00767"},{"key":"ref11","year":"2020","journal-title":"DeepFaceLab"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2018.8630761"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00765"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref15","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"ICML"},{"key":"ref16","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref17","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2014","journal-title":"ICLRE"},{"key":"ref18","author":"shaoanlu","year":"2019","journal-title":"faceswap-gan A denoising autoencoder + adversarial losses and attention mechanisms for face swapping"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_37"},{"key":"ref28","author":"dolhansky","year":"2019","journal-title":"The Deepfake Detection Challenge (DFDC) Preview Dataset"},{"key":"ref4","article-title":"Unmasking deepfakes with simple features","author":"durall","year":"2019","journal-title":"arXiv preprint arXiv 1911 12945"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00327"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2929464.2929475"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683164"},{"key":"ref29","article-title":"Deepfakes: a new threat to face recognition? assessment and detection","author":"korshunov","year":"2018","journal-title":"arXiv preprint arXiv 1812 08942"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW.2019.00020"},{"key":"ref8","year":"2020","journal-title":"matthewearl faceswap"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2019.01.008"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682602"},{"key":"ref9","year":"2020","journal-title":"MarekKowalski FaceSwap"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.11231","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1414106111"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref26","year":"0"},{"key":"ref25","first-page":"4510","article-title":"Mo-bilenetv2: Inverted residuals and linear bottlenecks","author":"sandler","year":"2018","journal-title":"ICCV"}],"event":{"name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Canberra, ACT, Australia","start":{"date-parts":[[2020,12,1]]},"end":{"date-parts":[[2020,12,4]]}},"container-title":["2020 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9308061\/9308107\/09308305.pdf?arnumber=9308305","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T17:31:33Z","timestamp":1670693493000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9308305\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,1]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ssci47803.2020.9308305","relation":{},"subject":[],"published":{"date-parts":[[2020,12,1]]}}}