{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T18:02:58Z","timestamp":1784311378218,"version":"3.55.0"},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.ins.2026.123799","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:41:21Z","timestamp":1781624481000},"page":"123799","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Robust wavelet-domain face forgery detection with complementary evidence mining"],"prefix":"10.1016","volume":"755","author":[{"given":"Kai","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2589-1164","authenticated-orcid":false,"given":"Guanglu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linsen","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5146-2981","authenticated-orcid":false,"given":"Yu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ins.2026.123799_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109628","article-title":"Deepfacelab: integrated, flexible and extensible face-swapping framework","volume":"141","author":"Liu","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.ins.2026.123799_bib0010","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.inffus.2020.06.014","article-title":"Deepfakes and beyond: a survey of face manipulation and fake detection","volume":"64","author":"Tolosana","year":"2020","journal-title":"Inf. Fusion"},{"issue":"5","key":"10.1016\/j.ins.2026.123799_bib0015","doi-asserted-by":"crossref","first-page":"4116","DOI":"10.1109\/TCSVT.2024.3522091","article-title":"Forgery-aware adaptive learning with vision transformer for generalized face forgery detection","volume":"35","author":"Luo","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.ins.2026.123799_bib0020","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"2185","article-title":"Multi-attentional deepfake detection","author":"Zhao","year":"2021"},{"key":"10.1016\/j.ins.2026.123799_bib0025","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1109\/TIFS.2022.3233774","article-title":"F 2 trans: high-frequency fine-grained transformer for face forgery detection","volume":"18","author":"Miao","year":"2023","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.ins.2026.123799_bib0030","series-title":"Proceedings of the 33rd ACM International Conference on Multimedia","first-page":"4768","article-title":"Wmamba: wavelet-based Mamba for face forgery detection","author":"Peng","year":"2025"},{"key":"10.1016\/j.ins.2026.123799_bib0035","series-title":"Proceedings of the Asian Conference on Computer Vision","first-page":"1858","article-title":"Multi-scale wavelet transformer for face forgery detection","author":"Liu","year":"2022"},{"issue":"5","key":"10.1016\/j.ins.2026.123799_bib0040","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIP.2007.894242","article-title":"Direction-adaptive discrete wavelet transform for image compression","volume":"16","author":"Chang","year":"2007","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.ins.2026.123799_bib0045","series-title":"Proceedings of the 37th International Conference on Machine Learning","first-page":"3247","article-title":"Leveraging frequency analysis for deep fake image recognition","author":"Frank","year":"2020"},{"key":"10.1016\/j.ins.2026.123799_bib0050","first-page":"852","article-title":"Alias-free generative adversarial networks","volume":"34","author":"Karras","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.ins.2026.123799_bib0055","series-title":"2019 IEEE Winter Applications of Computer Vision Workshops (WACVW)","first-page":"83","article-title":"Exploiting visual artifacts to expose deepfakes and face manipulations","author":"Matern","year":"2019"},{"key":"10.1016\/j.ins.2026.123799_bib0060","series-title":"2018 IEEE International Workshop on Information Forensics and Security","first-page":"1","article-title":"Mesonet: a compact facial video forgery detection network","author":"Afchar","year":"2018"},{"key":"10.1016\/j.ins.2026.123799_bib0065","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"1","article-title":"FaceForensics++: learning to detect manipulated facial images","author":"Rossler","year":"2019"},{"key":"10.1016\/j.ins.2026.123799_bib0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.112143","article-title":"Generalized face forgery detection with self-supervised face geometry information analysis network","volume":"166","author":"Zhang","year":"2024","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2026.123799_bib0075","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5001","article-title":"Face x-ray for more general face forgery detection","author":"Li","year":"2020"},{"key":"10.1016\/j.ins.2026.123799_bib0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119361","article-title":"Rethinking gradient operator for exposing AI-enabled face forgeries","volume":"215","author":"Guo","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123799_bib0085","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"20606","article-title":"Trufor: leveraging all-round clues for trustworthy image forgery detection and localization","author":"Guillaro","year":"2023"},{"key":"10.1016\/j.ins.2026.123799_bib0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.108450","article-title":"Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection","volume":"133","author":"Gao","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.ins.2026.123799_bib0095","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"20270","article-title":"Learning second order local anomaly for general face forgery detection","author":"Fei","year":"2022"},{"key":"10.1016\/j.ins.2026.123799_bib0100","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","first-page":"973","article-title":"Intriguing properties of synthetic images: from generative adversarial networks to diffusion models","author":"Corvi","year":"2023"},{"key":"10.1016\/j.ins.2026.123799_bib0105","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"772","article-title":"Spatial-phase shallow learning: rethinking face forgery detection in frequency domain","author":"Liu","year":"2021"},{"key":"10.1016\/j.ins.2026.123799_bib0110","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"16317","article-title":"Generalizing face forgery detection with high-frequency features","author":"Luo","year":"2021"},{"key":"10.1016\/j.ins.2026.123799_bib0115","doi-asserted-by":"crossref","first-page":"3008","DOI":"10.1109\/TIFS.2022.3198275","article-title":"Hierarchical frequency-assisted interactive networks for face manipulation detection","volume":"17","author":"Miao","year":"2022","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.ins.2026.123799_bib0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123732","article-title":"DeepFake detection based on high-frequency enhancement network for highly compressed content","volume":"249","author":"Gao","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123799_bib0125","series-title":"Proceedings of the Winter Conference on Applications of Computer Vision","first-page":"1661","article-title":"Wavelet-driven generalizable framework for deepfake face forgery detection","author":"Baru","year":"2025"},{"key":"10.1016\/j.ins.2026.123799_bib0130","series-title":"Proceedings. (ICASSP \u201905). IEEE International Conference on Acoustics, Speech, and Signal Processing","first-page":"573","article-title":"The finer directional wavelet transform [image processing applications]","volume":"vol. 4","author":"Lu","year":"2005"},{"issue":"12","key":"10.1016\/j.ins.2026.123799_bib0135","doi-asserted-by":"crossref","first-page":"2324","DOI":"10.1109\/TIP.2008.2006658","article-title":"Multiresolution bilateral filtering for image denoising","volume":"17","author":"Zhang","year":"2008","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.ins.2026.123799_bib0140","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"2965","article-title":"Discriminative blur detection features","author":"Shi","year":"2014"},{"key":"10.1016\/j.ins.2026.123799_bib0145","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"Hu","year":"2018"},{"key":"10.1016\/j.ins.2026.123799_bib0150","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"11976","article-title":"A convnet for the 2020s","author":"Liu","year":"2022"},{"issue":"10","key":"10.1016\/j.ins.2026.123799_bib0155","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","article-title":"Joint face detection and alignment using multitask cascaded convolutional networks","volume":"23","author":"Zhang","year":"2016","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.ins.2026.123799_bib0160","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3207","article-title":"Celeb-df: a large-scale challenging dataset for deepfake forensics","author":"Li","year":"2020"},{"key":"10.1016\/j.ins.2026.123799_bib0165","author":"Dolhansky"},{"key":"10.1016\/j.ins.2026.123799_bib0170","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"4113","article-title":"End-to-end reconstruction-classification learning for face forgery detection","author":"Cao","year":"2022"},{"key":"10.1016\/j.ins.2026.123799_bib0175","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"28130","article-title":"Rethinking the up-sampling operations in CNN-based generative network for generalizable deepfake detection","author":"Tan","year":"2024"},{"key":"10.1016\/j.ins.2026.123799_bib0180","doi-asserted-by":"crossref","first-page":"8559","DOI":"10.1109\/TIFS.2024.3461958","article-title":"GenFace: a large-scale fine-grained face forgery benchmark and cross appearance-edge learning","volume":"19","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"1","key":"10.1016\/j.ins.2026.123799_bib0185","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/TDSC.2025.3604443","article-title":"MoE-FFD: mixture of experts for generalized and parameter-efficient face forgery detection","volume":"23","author":"Kong","year":"2026","journal-title":"IEEE Trans. Dependable Secure Comput."},{"key":"10.1016\/j.ins.2026.123799_bib0190","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"86","article-title":"Thinking in frequency: face forgery detection by mining frequency-aware clues","author":"Qian","year":"2020"},{"key":"10.1016\/j.ins.2026.123799_bib0195","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":"2022"},{"issue":"9","key":"10.1016\/j.ins.2026.123799_bib0200","doi-asserted-by":"crossref","first-page":"8972","DOI":"10.1109\/TCSVT.2024.3390945","article-title":"Face forgery detection via multi-feature fusion and local enhancement","volume":"34","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.ins.2026.123799_bib0205","doi-asserted-by":"crossref","first-page":"6785","DOI":"10.1109\/TMM.2024.3355651","article-title":"Improving deepfake detection generalization by invariant risk minimization","volume":"26","author":"Yin","year":"2024","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.ins.2026.123799_bib0210","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.129129","article-title":"DFD-NAS: general deepfake detection via efficient neural architecture search","volume":"619","author":"Jin","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ins.2026.123799_bib0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111299","article-title":"Real face foundation representation learning for generalized deepfake detection","volume":"161","author":"Shi","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.ins.2026.123799_bib0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127108","article-title":"MH-FFNet: leveraging mid-high frequency information for robust fine-grained face forgery detection","volume":"276","author":"Zhou","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123799_bib0225","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.ins.2026.123799_bib0230","series-title":"Proceedings of the 36th International Conference on Machine Learning","first-page":"6105","article-title":"Efficientnet: rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019"},{"key":"10.1016\/j.ins.2026.123799_bib0235","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"10012","article-title":"Swin transformer: hierarchical vision transformer using shifted windows","author":"Liu","year":"2021"},{"key":"10.1016\/j.ins.2026.123799_bib0240","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference","first-page":"25261","article-title":"Mambavision: a hybrid Mamba-transformer vision backbone","author":"Hatamizadeh","year":"2025"},{"key":"10.1016\/j.ins.2026.123799_bib0245","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"618","article-title":"Grad-CAM: visual explanations from deep networks via gradient-based localization","author":"Selvaraju","year":"2017"}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526007309?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526007309?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T17:06:44Z","timestamp":1784308004000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025526007309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":49,"alternative-id":["S0020025526007309"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2026.123799","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Robust wavelet-domain face forgery detection with complementary evidence mining","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2026.123799","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"123799"}}