{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T17:09:46Z","timestamp":1781370586623,"version":"3.54.1"},"reference-count":88,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000646","name":"Japan Society for the Promotion of Science (JSPS) KAKENHI","doi-asserted-by":"publisher","award":["JP21H04907"],"award-info":[{"award-number":["JP21H04907"]}],"id":[{"id":"10.13039\/501100000646","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000646","name":"Japan Society for the Promotion of Science (JSPS) KAKENHI","doi-asserted-by":"publisher","award":["JP24H00732"],"award-info":[{"award-number":["JP24H00732"]}],"id":[{"id":"10.13039\/501100000646","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Japan Science and Technology Agency (JST) Core Research for Evolutional Science and Technology (CREST) including AIP Challenge Program","award":["JPMJCR20D3"],"award-info":[{"award-number":["JPMJCR20D3"]}]},{"name":"JST Advanced Integrated Intelligence Platform (AIP) Acceleration","award":["JPMJCR24U3"],"award-info":[{"award-number":["JPMJCR24U3"]}]},{"name":"JST K Program Japan","award":["JPMJKP24C2"],"award-info":[{"award-number":["JPMJKP24C2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3584395","type":"journal-article","created":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T13:39:16Z","timestamp":1751290756000},"page":"136505-136523","source":"Crossref","is-referenced-by-count":2,"title":["LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1245-5431","authenticated-orcid":false,"given":"Shuhan","family":"Cui","sequence":"first","affiliation":[{"name":"Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2000-7977","authenticated-orcid":false,"given":"Huy H.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"National Institute of Informatics, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7363-2610","authenticated-orcid":false,"given":"Trung-Nghia","family":"Le","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, University of Science, VNU-HCM, Ho Chi Minh City, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5900-0019","authenticated-orcid":false,"given":"Chun-Shien","family":"Lu","sequence":"additional","affiliation":[{"name":"Academia Sinica, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4908-1860","authenticated-orcid":false,"given":"Isao","family":"Echizen","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Faceapp\u2014Face Editor, Makeover and Beauty App","author":"Goncharov","year":"2016"},{"key":"ref2","volume-title":"Reface. Be Anyone","author":"Inc","year":"2020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201283"},{"key":"ref4","volume-title":"Tackling the Misinformation Epidemic With \u2019in Event of Moon Disaster\u2019","author":"Learning","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00955"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00505"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_39"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW.2019.00020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_6"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053969"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00996"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2007.4284578"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISCO.2017.7855986"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3123902"},{"key":"ref15","first-page":"1","article-title":"Understanding the promise and limits of automated fact-checking","author":"Graves","year":"2018","journal-title":"Reuters Inst. Study Journalism"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00454"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/10584609.2019.1668894"},{"key":"ref18","article-title":"The 2021 image similarity dataset and challenge","author":"Douze","year":"2021","journal-title":"arXiv:2106.09672"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01316-z"},{"key":"ref20","volume-title":"Techniques and Applications of Digital Watermarking and Content Protection","author":"Arnold","year":"2003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s21010082"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1996.545849"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96881-0_4"},{"issue":"4","key":"ref24","first-page":"199","article-title":"Detection of region duplication forgery in digital images using surf","volume":"8","author":"Shivakumar","year":"2011","journal-title":"Int. J. Comput. Sci. Issues (IJCSI)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2438008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883588"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.130110"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-14424-y"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3698770"},{"key":"ref30","article-title":"Progressive feedback-enhanced transformer for image forgery localization","author":"Zhu","year":"2023","journal-title":"arXiv:2311.08910"},{"key":"ref31","article-title":"A data set of authentic and spliced image blocks","volume":"4","author":"Ng","year":"2004"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2006.262447"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2011.2129512"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2218597"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2187516"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ChinaSIP.2013.6625374"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2265677"},{"key":"ref38","first-page":"49","article-title":"CoMoFoD\u2014New database for copy-move forgery detection","volume-title":"Proc. ELMAR","author":"Tralic"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2455334"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2015.7169839"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2636089"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532339"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_7"},{"key":"ref44","article-title":"The PS-battles dataset\u2014An image collection for image manipulation detection","author":"Heller","year":"2018","journal-title":"arXiv:1804.04866"},{"key":"ref45","first-page":"215","article-title":"The point where reality meets fantasy: Mixed adversarial generators for image splice detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Kniaz"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2019.8903181"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW50321.2020.9096940"},{"key":"ref48","article-title":"DeepfakeArt challenge: A benchmark dataset for generative AI art forgery and data poisoning detection","author":"Aboutalebi","year":"2023","journal-title":"arXiv:2306.01272"},{"key":"ref49","article-title":"Robustness and generalizability of deepfake detection: A study with diffusion models","author":"Song","year":"2023","journal-title":"arXiv:2309.02218"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ATSIP.2014.6834590"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/sym8070062"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646421"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/2700292"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.374"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00598"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00265"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/1631272.1631361"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25366"},{"key":"ref59","article-title":"R\/fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection","author":"Nakamura","year":"2019","journal-title":"arXiv:1911.03854"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.41"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00323"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00753"},{"key":"ref63","article-title":"Colorization transformer","author":"Kumar","year":"2021","journal-title":"arXiv:2102.04432"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01402"},{"key":"ref65","article-title":"AugLy: Data augmentations for robustness","author":"Papakipos","year":"2022","journal-title":"arXiv:2201.06494"},{"key":"ref66","article-title":"Imgaug documentation","volume":"25","author":"Jung","year":"2019","journal-title":"Readthedocs.Io"},{"key":"ref67","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Heusel"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00134"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3378466"},{"key":"ref70","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref71","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_11"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00473"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3026868"},{"key":"ref75","article-title":"Image copy-move forgery detection and localization scheme: How to avoid missed detection and false alarm","author":"Jiang","year":"2024","journal-title":"arXiv:2406.03271"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3234861"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.01.010"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00977"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3070444"},{"key":"ref80","article-title":"IML-ViT: Benchmarking image manipulation localization by vision transformer","author":"Ma","year":"2023","journal-title":"arXiv:2307.14863"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446332"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00839"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3075039"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01974"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00438"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"ref87","article-title":"MultiGrain: A unified image embedding for classes and instances","author":"Berman","year":"2019","journal-title":"arXiv:1902.05509"},{"key":"ref88","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2023","journal-title":"arXiv:2304.07193"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11059876.pdf?arnumber=11059876","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T04:36:30Z","timestamp":1754627790000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11059876\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":88,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3584395","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}