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2020 Jun 13\u201319","first-page":"3204","article-title":"Celeb-DF: a large-scale challenging dataset for DeepFake forensics","author":"Li"},{"key":"ref16","series-title":"Proceedings of the 2020 IEEE\/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT); 2020 Dec 7\u201310","first-page":"134","article-title":"Deepfake detection through deep learning","author":"Pan"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"3974","DOI":"10.1007\/s10489-022-03766-z","article-title":"Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward","volume":"53","author":"Masood","year":"2023","journal-title":"Appl Intell"},{"key":"ref18","first-page":"1","volume":"37","author":"Thies","year":"2018","journal-title":"ACM Trans Graph"},{"key":"ref19","first-page":"433","article-title":"Automatic face mask detection and recognition using deep learning","volume":"13","author":"Dahri","year":"2022","journal-title":"Int J Sci Eng Res"},{"key":"ref20","first-page":"1","author":"Bitouk","year":"2008","journal-title":"ACM SIGGRAPH 2008 papers"},{"key":"ref21","first-page":"2989","article-title":"Deepfake videos: synthesis and detection techniques\u2014a survey","volume":"42","author":"Saif","year":"2022","journal-title":"J Intell Fuzzy Syst"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"19344","DOI":"10.1109\/ACCESS.2024.3356550","article-title":"Face de-identification using face caricature","volume":"12","author":"Laishram","year":"2024","journal-title":"IEEE Access"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"61","DOI":"10.3390\/jsan12040061","article-title":"An investigation of the effectiveness of Deepfake models and tools","volume":"12","author":"Mukta","year":"2023","journal-title":"J Sens Actuator Netw"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"110002","DOI":"10.1016\/j.patcog.2023.110002","article-title":"Fairness in face presentation attack detection","volume":"147","author":"Fang","year":"2024","journal-title":"Pattern Recognit"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.patrec.2024.04.008","article-title":"Data-agnostic face image synthesis detection using Bayesian CNNs","volume":"183","author":"Leyva","year":"2024","journal-title":"Pattern Recognit Lett"},{"key":"ref26","series-title":"Proceedings of the 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC); 2022 Nov 7\u201310","first-page":"1524","article-title":"Multimodal forgery detection using ensemble learning","author":"Hashmi"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"117865","DOI":"10.1109\/ACCESS.2023.3324403","article-title":"DeepFake on face and expression swap: a review","volume":"11","author":"Waseem","year":"2023","journal-title":"IEEE Access"},{"key":"ref28","series-title":"Proceedings of the 2018 International Conference of the Biometrics Special Interest Group (BIOSIG); 2018 Sep 6\u201328","first-page":"1","article-title":"Fake face detection methods: can they be generalized?","author":"Khodabakhsh"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"160471","DOI":"10.1109\/ACCESS.2021.3131517","article-title":"Real, forged or deep fake? enabling the ground truth on the Internet","volume":"9","author":"Hoque","year":"2021","journal-title":"IEEE Access"},{"key":"ref30","unstructured":"Dolhansky B. The deepfake detection challenge (DFDC) dataset. arXiv:2006.07397v4. 2020."},{"key":"ref31","series-title":"Proceedings of the 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); 2020 Jun 14\u201319","first-page":"2851","article-title":"Deepfakes detection with automatic face weighting","author":"Montserrat"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"3473","DOI":"10.1007\/s00371-024-03613-x","article-title":"Advanced deepfake detection with enhanced Resnet-18 and multilayer CNN max pooling","volume":"41","author":"Fahad","year":"2025","journal-title":"Vis Comput"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"134701","DOI":"10.1109\/ACCESS.2023.3332561","article-title":"EDL-Det: a robust TTS synth detect using VGG19-based YAMNet ensemble learn block","volume":"11","author":"Mahum","year":"2023","journal-title":"IEEE Access"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"67456","DOI":"10.1109\/ACCESS.2019.2919169","article-title":"Facial image inpainting with deep generative model and patch search using region weight","volume":"7","author":"Wei","year":"2019","journal-title":"IEEE Access"},{"key":"ref35","series-title":"Proceedings of the 2018 IEEE International Workshop on Information Forensics and Security (WIFS); 2018 Dec 11\u201313","first-page":"1","article-title":"MesoNet: a compact facial video forgery detection network","author":"Afchar"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"e2246","DOI":"10.1002\/cav.2246","article-title":"Facial action units detection using temporal context and feature reassignment","volume":"35","author":"Yang","year":"2024","journal-title":"Comput Animat Virtual"},{"key":"ref37","series-title":"Proceedings of the 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR); 2024 May 14\u201315","first-page":"1","article-title":"A novel deep learning model for classifying power quality problems in PV-integrated microgrids using CNN-LSTM","author":"Ali Channa"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"83144","DOI":"10.1109\/ACCESS.2020.2988660","article-title":"Deep: deep detect using hum eye blinking pattern","volume":"8","author":"Jung","year":"2020","journal-title":"IEEE Access"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"110124","DOI":"10.1016\/j.asoc.2023.110124","article-title":"AVFakeNet: a unified end-to-end Dense Swin Transformer deep learning model for audio\u2014visual deepfakes detection","volume":"136","author":"Ilyas","year":"2023","journal-title":"Appl Soft Comput"},{"key":"ref40","series-title":"Proceedings of the 31st ACM International Conference on Multimedia; 2023 Oct 27\u201331","first-page":"8749","article-title":"UMMAFormer: a universal multimodal-adaptive transformer framework for temporal forgery localization","author":"Zhang"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"6662","DOI":"10.1109\/TCYB.2021.3079311","article-title":"Improving video temporal consistency via broad learning system","volume":"52","author":"Sheng","year":"2022","journal-title":"IEEE Trans Cybern"},{"key":"ref42","first-page":"813","article-title":"Is space-time attention all you need for video understanding?","volume":"139","author":"Bertasius","year":"2021","journal-title":"Proc Mach Learn Res"},{"key":"ref43","series-title":"Proceedings of the 2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES); 2024 Oct 19\u201321","first-page":"139","article-title":"TimeSformer-MIL: a hybrid approach for anomalous activity recognition in real-world surveillance videos","author":"Khaled"},{"key":"ref44","unstructured":"Khalid H, Tariq S, Kim M, Woo SS. FakeAVCeleb: a novel audio-video multimodal deepfake dataset. arXiv:2108.05080v4. 2022."},{"key":"ref45","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1007\/s11760-025-03970-7","article-title":"Enhancing multimodal deepfake detection with local-global feature integration and diffusion models","volume":"19","author":"Javed","year":"2025","journal-title":"Signal Image Video Process"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"4327","DOI":"10.1109\/TDSC.2024.3352049","article-title":"Benchmarking joint face spoofing and forgery detection with visual and physiological cues","volume":"21","author":"Yu","year":"2024","journal-title":"IEEE Trans Dependable Secur Comput"},{"key":"ref47","series-title":"Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2015 Jun 7\u201312","first-page":"2625","article-title":"Long-term recurrent convolutional networks for visual recognition and description","author":"Donahue"},{"key":"ref48","series-title":"Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2016 Jun 27\u201330","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He"},{"key":"ref49","series-title":"Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017 Jul 21\u201326","first-page":"2261","article-title":"Densely connected convolutional networks","author":"Huang"},{"key":"ref50","first-page":"1","article-title":"FakeCatcher: detection of synthetic portrait videos using biological signals","volume":"2024","author":"Ciftci","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref51","series-title":"Proceedings of the 2020 IEEE International Conference on Image Processing (ICIP); 2020 Oct 25\u201328","first-page":"1821","article-title":"Extracting deep local features to detect manipulated images of human faces","author":"Tarasiou"},{"key":"ref52","series-title":"International Conference on Image Analysis and Processing","first-page":"219","article-title":"Combining EfficientNet and vision transformers for video deepfake detection","author":"Coccomini","year":"2022"},{"key":"ref53","unstructured":"Wodajo D, Atnafu S. Deepfake video detection using convolutional vision transformer. arXiv:2102.11126v3. 2021."},{"key":"ref54","doi-asserted-by":"crossref","first-page":"104978","DOI":"10.1016\/j.engappai.2022.104978","article-title":"A 3D-CAE-CNN model for deep representation learning of 3D images","volume":"113","author":"Pintelas","year":"2022","journal-title":"Eng Appl Artif Intell"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1109\/TIFS.2023.3239223","article-title":"ISTVT: interpretable spatial-temporal video transformer for deepfake detection","volume":"18","author":"Zhao","year":"2023","journal-title":"IEEE Trans Inform Forensic Secur"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"4046","DOI":"10.1109\/TIFS.2023.3290752","article-title":"Dynamic difference learning with spatio-temporal correlation for deepfake video detection","volume":"18","author":"Yin","year":"2023","journal-title":"IEEE Trans Inform Forensic Secur"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"21777","DOI":"10.1007\/s00521-022-07633-3","article-title":"An integrated spatiotemporal-based methodology for deepfake detection","volume":"34","author":"Ismail","year":"2022","journal-title":"Neural Comput Appl"},{"key":"ref58","unstructured":"de Lima O, Franklin S, Basu S, Karwoski B, George A. Deepfake detection using spatiotemporal convolutional networks. arXiv:2006.14749v1. 2020."},{"key":"ref59","doi-asserted-by":"crossref","first-page":"575","DOI":"10.3390\/electronics11040575","article-title":"A light-weight CNN for object detection with sparse model and knowledge distillation","volume":"11","author":"Guo","year":"2022","journal-title":"Electronics"},{"key":"ref60","series-title":"Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus); 2021 Jan 26\u201329","first-page":"598","article-title":"EfficientNets for DeepFake detection: comparison of pretrained models","author":"Pokroy"},{"key":"ref61","series-title":"Proceedings of the 29th ACM International Conference on Multimedia; 2021 Oct 20\u201324","article-title":"Video transformer for deepfake detection with incremental learning","author":"Khan"},{"key":"ref62","series-title":"Proceedings of the Computer Vision-ECCV 2020","first-page":"152","article-title":"Towards fast, accurate and stable 3D dense face alignment","author":"Guo"},{"key":"ref63","unstructured":"Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, et al. An image is worth 16x16 words: transformers for image recognition at scale. arXiv:2010.11929. 2020."},{"key":"ref64","first-page":"3","article-title":"Contributing data to deepfake detection research","volume":"1","author":"Dufour","year":"2019","journal-title":"Google AI Blog"},{"key":"ref65","series-title":"Proceedings of the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2021 Jun 20\u201325","first-page":"5037","article-title":"Lips don\u2019t lie: a generalisable and robust approach to face forgery detection","author":"Haliassos"},{"key":"ref66","series-title":"Proceedings of the 2018 IEEE International Workshop on Information Forensics and Security (WIFS); 2018 Dec 11\u201313","first-page":"1","article-title":"In ictu oculi: exposing AI created fake videos by detecting eye blinking","author":"Li"},{"key":"ref67","series-title":"Proceedings of the 2019 IEEE\/CVF International Conference on Computer Vision Workshop (ICCVW); 2019 Oct 27\u201328","first-page":"1205","article-title":"Deepfake video detection through optical flow based CNN","author":"Amerini"},{"key":"ref68","series-title":"Proceedings of the 28th ACM International Conference on Multimedia; 2020 Oct 12\u201316","first-page":"2823","article-title":"Emotions don\u2019t lie: an audio-visual deepfake detection method using affective cues","author":"Mittal"},{"key":"ref69","series-title":"Proceedings of the 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2020 Jun 18\u201324","first-page":"14930","article-title":"Leveraging real talking faces via self-supervision for robust forgery detection","author":"Haliassos"},{"key":"ref70","series-title":"Proceedings of the 2021 IEEE\/CVF International Conference on Computer Vision (ICCV); 2021 Oct 10\u201317","first-page":"15024","article-title":"Exploring temporal coherence for more general video face forgery detection","author":"Zheng"},{"key":"ref71","series-title":"Proceedings of the 2022 International Conference on Multimedia Retrieval","first-page":"615","article-title":"M2TR: multi-modal multi-scale transformers for deepfake detection","author":"Wang","year":"2020 Jun 27\u201330"},{"key":"ref72","doi-asserted-by":"crossref","unstructured":"Li Y, Chang MC, Lyu S. In ictu oculi: exposing AI generated fake face videos by detecting eye blinking. arXiv:1806.02877. 2018.","DOI":"10.1109\/WIFS.2018.8630787"},{"key":"ref73","doi-asserted-by":"crossref","first-page":"1398","DOI":"10.1007\/s11263-019-01251-8","article-title":"Realistic speech-driven facial animation with GANs","volume":"128","author":"Vougioukas","year":"2020","journal-title":"Int J Comput Vis"},{"key":"ref74","unstructured":"Pham HX, Wang Y, Pavlovic V. Generative adversarial talking head: bringing portraits to life with a weakly supervised neural network. arXiv:1803.07716. 2018."},{"key":"ref75","series-title":"Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017 Jul 21\u201326","first-page":"1800","article-title":"Xception: deep learning with depthwise separable convolutions","author":"Chollet"},{"key":"ref76","series-title":"Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security; 2015 Jun 20\u201322","first-page":"5","article-title":"A deep learning approach to universal image manipulation detection using a new convolutional layer","author":"Bayar"},{"key":"ref77","series-title":"Proceedings of the International Conference on Machine Learning; 2019 Jun 10\u201315","first-page":"6105","article-title":"EfficientNet: rethinking model scaling for convolutional neural networks","author":"Tan"},{"key":"ref78","series-title":"Proceedings of the Proceedings of the AAAI Conference on Artificial Intelligence; 2017 Feb 4\u20139","article-title":"Inception-v4, inception-ResNet and the impact of residual connections on learning","author":"Szegedy"},{"key":"ref79","series-title":"Proceedings of the 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS); 2018 Nov 27\u201330","first-page":"1","article-title":"Deepfake video detection using recurrent neural networks","author":"G\u00fcera"},{"key":"ref80","series-title":"Proceedings of the 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2020 Jun 13\u201319","first-page":"5000","article-title":"Face X-ray for more general face forgery detection","author":"Li"},{"key":"ref81","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/978-3-030-87664-7_10","author":"Roy","year":"2022","journal-title":"Handbook of digital face manipulation and detection"},{"key":"ref82","series-title":"Proceedings of the 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2022 Jun 18\u201324","first-page":"4103","article-title":"End-to-end reconstruction-classification learning for face forgery detection","author":"Cao"},{"key":"ref83","series-title":"Proceedings of the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2021 Jun 20\u201325","first-page":"14918","article-title":"Representative forgery mining for fake face detection","author":"Wang"},{"key":"ref84","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence; 2022 Feb 22\u2013Mar 1","first-page":"2316","article-title":"Dual contrastive learning for general face forgery detection","author":"Sun"},{"key":"ref85","doi-asserted-by":"crossref","first-page":"4272","DOI":"10.1109\/TIFS.2023.3293951","article-title":"FedForgery: generalized face forgery detection with residual federated learning","volume":"18","author":"Liu","year":"2023","journal-title":"IEEE Trans Inform Forensic Secur"},{"key":"ref86","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3643030","article-title":"Deepfake detection using spatiotemporal transformer","volume":"20","author":"Kaddar","year":"2024","journal-title":"ACM Trans Multimed Comput Commun Appl"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-85-1\/TSP_CMC_62954\/TSP_CMC_62954.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:02:39Z","timestamp":1763344959000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v85n1\/63504"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":86,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.062954","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2024-12-31","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-06-06","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-29","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}