{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T03:38:14Z","timestamp":1780457894303,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T00:00:00Z","timestamp":1593734400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,3]]},"DOI":"10.1145\/3409501.3409542","type":"proceedings-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T14:56:37Z","timestamp":1598367397000},"page":"98-103","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["A Detection Method for DeepFake Hard Compressed Videos based on Super-resolution Reconstruction Using CNN"],"prefix":"10.1145","author":[{"given":"Zhang","family":"Hongmeng","sequence":"first","affiliation":[{"name":"Information Engineering University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhu","family":"Zhiqiang","sequence":"additional","affiliation":[{"name":"Information Engineering University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sun","family":"Lei","sequence":"additional","affiliation":[{"name":"Information Engineering University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mao","family":"Xiuqing","sequence":"additional","affiliation":[{"name":"Information Engineering University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wang","family":"Yuehan","sequence":"additional","affiliation":[{"name":"Information Engineering University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2008.99"},{"key":"e_1_3_2_1_2_1","first-page":"416","volume-title":"IEEE","author":"Li X","year":"2017","unstructured":"Li X , Zhang T. \" An exploration on artificial intelligence application: From security, privacy and ethic perspective.\" 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) . IEEE , 2017 . pp. 416 -- 420 Li X, Zhang T. \"An exploration on artificial intelligence application: From security, privacy and ethic perspective.\" 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 2017. pp. 416--420"},{"key":"e_1_3_2_1_3_1","volume-title":"Recurrent convolutional strategies for face manipulation detection in videos.\" Interfaces (GUI)","author":"Sabir","year":"2019","unstructured":"Sabir , Ekraam, \" Recurrent convolutional strategies for face manipulation detection in videos.\" Interfaces (GUI) 2019 , 3: 1. Sabir, Ekraam, et al. \"Recurrent convolutional strategies for face manipulation detection in videos.\" Interfaces (GUI) 2019, 3: 1."},{"key":"e_1_3_2_1_4_1","first-page":"4700","article-title":"Densely connected convolutional networks","author":"Huang","year":"2017","unstructured":"Huang , Gao, \" Densely connected convolutional networks .\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2017 , pp. 4700 -- 4708 . Huang, Gao, et al. \"Densely connected convolutional networks.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2017, pp. 4700--4708.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition."},{"key":"e_1_3_2_1_5_1","first-page":"1724","volume-title":"Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation.\" Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Cho K","year":"2014","unstructured":"Cho K , van Merri\u00ebnboer B , Gulcehre C , \" Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation.\" Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 2014 , pp. 1724 -- 1734 . Cho K, van Merri\u00ebnboer B, Gulcehre C, et al. \"Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation.\" Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014, pp. 1724--1734."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2018.8639163"},{"key":"e_1_3_2_1_7_1","volume-title":"2018 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE","author":"Li Y","unstructured":"Li Y , Chang M C , \" Lyu S. In ictu oculi: Exposing ai created fake videos by detecting eye blinking \". 2018 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE , 2018: 1--7. Li Y, Chang M C, \"Lyu S. In ictu oculi: Exposing ai created fake videos by detecting eye blinking\". 2018 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2018: 1--7."},{"key":"e_1_3_2_1_8_1","first-page":"770","article-title":"Deep residual learning for image recognition","volume":"2016","author":"He K.","unstructured":"He , K. , Zhang , X. , Ren , S. , Sun , J. \" Deep residual learning for image recognition .\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016 : 770 -- 778 . He, K., Zhang, X., Ren, S., Sun, J. \"Deep residual learning for image recognition.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770--778.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition."},{"key":"e_1_3_2_1_9_1","first-page":"1831","volume-title":"IEEE Computer Vision and Pattern Recognition Workshops.","author":"Zhou P.","year":"2017","unstructured":"Zhou , P. , Han , X. , Morariu , V. , Davis , L. \" Two -stream neural networks for tampered face detection \". IEEE Computer Vision and Pattern Recognition Workshops. 2017 , pp. 1831 -- 1839 Zhou, P., Han, X., Morariu, V., Davis, L. \"Two-stream neural networks for tampered face detection\". IEEE Computer Vision and Pattern Recognition Workshops. 2017, pp. 1831--1839"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2018.8630761"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW.2019.00020"},{"key":"e_1_3_2_1_13_1","first-page":"46","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops.","author":"Li Y","year":"2019","unstructured":"Li Y , Lyu S. \" Exposing DeepFake Videos By Detecting Face Warping Artifacts \". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2019 , pp. 46 -- 52 . Li Y, Lyu S. \"Exposing DeepFake Videos By Detecting Face Warping Artifacts \". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2019, pp. 46--52."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683164"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2007.905532"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00340"},{"key":"e_1_3_2_1_17_1","volume-title":"FaceForensics: A large-scale video dataset for forgery detection in human faces\". arXiv preprint arXiv:1803.09179","author":"R\u00f6ssler A","year":"2018","unstructured":"R\u00f6ssler A , Cozzolino D , Verdoliva L , \" FaceForensics: A large-scale video dataset for forgery detection in human faces\". arXiv preprint arXiv:1803.09179 , 2018 . R\u00f6ssler A, Cozzolino D, Verdoliva L, et al. \"FaceForensics: A large-scale video dataset for forgery detection in human faces\". arXiv preprint arXiv:1803.09179, 2018."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"e_1_3_2_1_19_1","unstructured":"Nick Dufour Google Research and Andrew Gully Jigsaw Contributing Data to DeepFake Detection Research [EB\/OL]. https:\/\/ai.googleblog.com\/2019\/09\/contributing-data-to-DeepFake-detection.html.  Nick Dufour Google Research and Andrew Gully Jigsaw Contributing Data to DeepFake Detection Research [EB\/OL]. https:\/\/ai.googleblog.com\/2019\/09\/contributing-data-to-DeepFake-detection.html."}],"event":{"name":"HPCCT & BDAI 2020: 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence","location":"Qingdao China","acronym":"HPCCT & BDAI 2020","sponsor":["Xi'an Jiaotong-Liverpool University Xi'an Jiaotong-Liverpool University"]},"container-title":["Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409501.3409542","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3409501.3409542","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:41Z","timestamp":1750199921000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409501.3409542"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,3]]},"references-count":19,"alternative-id":["10.1145\/3409501.3409542","10.1145\/3409501"],"URL":"https:\/\/doi.org\/10.1145\/3409501.3409542","relation":{},"subject":[],"published":{"date-parts":[[2020,7,3]]},"assertion":[{"value":"2020-08-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}