{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T06:08:06Z","timestamp":1784095686091,"version":"3.55.0"},"reference-count":81,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004329","name":"Slovenian Research and Innovation Agency","doi-asserted-by":"crossref","award":["P2-0250"],"award-info":[{"award-number":["P2-0250"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004329","name":"Slovenian Research and Innovation Agency","doi-asserted-by":"crossref","award":["P2-0214"],"award-info":[{"award-number":["P2-0214"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"crossref"}]},{"name":"DeepFake DAD Project","award":["J2-50065"],"award-info":[{"award-number":["J2-50065"]}]},{"name":"EUTOPIA Ph.D. Funding Scheme"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3702429","type":"journal-article","created":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T20:03:37Z","timestamp":1781121817000},"page":"101988-102001","source":"Crossref","is-referenced-by-count":0,"title":["Learning the Manifold of Authenticity: Hybrid-Curvature Representation Learning for Generalizable Deepfake Detection"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-5560-4272","authenticated-orcid":false,"given":"Nicolas","family":"Larue","sequence":"first","affiliation":[{"name":"ETIS Laboratory, ENSEA, CNRS, CY Cergy Paris University, Cergy, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3385-5780","authenticated-orcid":false,"given":"Vitomir","family":"\u0160truc","sequence":"additional","affiliation":[{"name":"University of Ljubljana, Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9744-4035","authenticated-orcid":false,"given":"Peter","family":"Peer","sequence":"additional","affiliation":[{"name":"University of Ljubljana, Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3498-3335","authenticated-orcid":false,"given":"Ngoc-Son","family":"Vu","sequence":"additional","affiliation":[{"name":"ETIS Laboratory, ENSEA, CNRS, CY Cergy Paris University, Cergy, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref2","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NeurIPS","volume":"33","author":"Ho"},{"key":"ref3","article-title":"Density estimation using real NVP","volume-title":"Proc. ICLR","author":"Dinh"},{"key":"ref4","volume-title":"European Politicians Duped Into Deepfake Video Calls With Mayor of Kyiv","author":"Oltermann","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT49239.2020.9225630"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00327"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00296"},{"key":"ref8","article-title":"Deepfakes: A new threat to face recognition? Assessment and detection","author":"Korshunov","year":"2018"},{"key":"ref9","article-title":"The deepfake detection challenge (DFDC) preview dataset","author":"Dolhansky","year":"2019","journal-title":"arXiv:1910.08854"},{"key":"ref10","article-title":"The DeepFake detection challenge (DFDC) dataset","author":"Dolhansky","year":"2020","journal-title":"arXiv:2006.07397"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"ref12","article-title":"Wild deep fake: A challenging real-world dataset for deepfake detection","volume-title":"Proc. ACM Int. Conf. Multimedia","author":"Zi"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3082031.3083247"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683164"},{"key":"ref15","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"},{"key":"ref16","article-title":"Generalized zero and few-shot transfer for facial forgery detection","author":"Aneja","year":"2020","journal-title":"arXiv:2006.11863"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/349"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19778-9_41"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19775-8_35"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19781-9_2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00083"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_6"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01963"},{"key":"ref24","first-page":"4517","article-title":"Delving into sequential patches for deepfake detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ding"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01011"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01477"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20065-6_23"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00111"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00139"},{"key":"ref30","volume-title":"DeepFakes","year":"2022"},{"key":"ref31","volume-title":"FaceSwap","year":"2022"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3292039"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323035"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411892"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_39"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2018.8630761"},{"key":"ref38","article-title":"Exposing DeepFake videos by detecting face warping artifacts","volume-title":"Proc. CVPR Workshop","author":"Li"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00582"},{"issue":"1","key":"ref40","doi-asserted-by":"crossref","first-page":"370","DOI":"10.3390\/app10010370","article-title":"Deep fake image detection based on pairwise learning","volume":"10","author":"Hsu","year":"2020","journal-title":"Appl. Sci."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00505"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01816"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01815"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01475"},{"key":"ref45","first-page":"24597","article-title":"OST: Improving generalization of DeepFake detection via one-shot test-time training","volume-title":"Proc. NeurIPS","author":"Chen"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00336"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.00389"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02071"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01453"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00500"},{"key":"ref51","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. ICML","author":"Chen"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00252"},{"key":"ref53","article-title":"Dissecting supervised contrastive learning","volume-title":"Proc. ICML","author":"Gr\u00e4f"},{"key":"ref54","article-title":"Do more negative samples necessarily hurt in contrastive learning?","volume-title":"Proc. ICML","author":"Awasthi"},{"key":"ref55","article-title":"Learning and evaluating representations for deep one-class classification","volume-title":"Proc. ICLR","author":"Sohn"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2024.3449635"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3542457"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3463495"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01921"},{"key":"ref60","article-title":"Poincar\u00e9 embeddings for learning hierarchical representations","volume-title":"Proc. NeurIPS","author":"Nickel"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00645"},{"key":"ref62","first-page":"5345","article-title":"Hyperbolic neural networks","volume-title":"Proc. NeurIPS","volume":"31","author":"Ganea"},{"key":"ref63","article-title":"Multi-relational poincar\u00e9 graph embeddings","volume-title":"Proc. NeurIPS","author":"Balazevic"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00308"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6916"},{"key":"ref67","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. NeurIPS","volume":"33","author":"Khosla"},{"key":"ref68","article-title":"Hyperbolic busemann learning with ideal prototypes","volume-title":"Proc. NeurIPS","volume":"34","author":"Atigh"},{"key":"ref69","first-page":"93","article-title":"A gyrovector space approach to hyperbolic geometry by abraham A. Ungar","volume":"18","author":"Rassias","year":"2010","journal-title":"J. Geometry Symmetry Phys."},{"key":"ref70","article-title":"CSI: Novelty detection via contrastive learning on distributionally shifted instances","volume-title":"Proc. NeurIPS","author":"Tack"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00525"},{"issue":"60","key":"ref72","first-page":"1755","article-title":"Dlib-ml: A machine learning toolkit","volume":"10","author":"King","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00114"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.01789"},{"key":"ref75","article-title":"LOGER: Local\u2013global ensemble for robust deepfake detection in the wild","volume-title":"Proc. CVPRW","author":"Wu"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00436"},{"issue":"2","key":"ref77","doi-asserted-by":"crossref","first-page":"259","DOI":"10.3390\/sym18020259","article-title":"SDEQ-Net: A deepfake video anomaly detection method integrating stochastic differential equations and hermitian-symmetric quantum representations","volume":"18","author":"Zhang","year":"2026","journal-title":"Symmetry"},{"key":"ref78","article-title":"FaceShifter: Towards high fidelity and occlusion aware face swapping","volume-title":"Proc. CVPR","author":"Li"},{"key":"ref79","article-title":"Hyperspherical prototype networks","volume-title":"Proc. NeurIPS","author":"Mettes"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2753"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00661"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11557307.pdf?arnumber=11557307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T05:53:34Z","timestamp":1784094814000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11557307\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":81,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3702429","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}