{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T05:53:11Z","timestamp":1788587591551,"version":"build-2803163510"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"PNRR Project Italian Strengthening of Esfri RI Resilience"},{"name":"European Union - NextGenerationEU","award":["B53C22001770006"],"award-info":[{"award-number":["B53C22001770006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3375288","type":"journal-article","created":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T14:26:48Z","timestamp":1710167208000},"page":"820-824","source":"Crossref","is-referenced-by-count":20,"title":["Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5590-3253","authenticated-orcid":false,"given":"Giuseppe","family":"Cartella","sequence":"first","affiliation":[{"name":"Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8479-9950","authenticated-orcid":false,"given":"Vittorio","family":"Cuculo","sequence":"additional","affiliation":[{"name":"Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9640-9385","authenticated-orcid":false,"given":"Marcella","family":"Cornia","sequence":"additional","affiliation":[{"name":"Department of Education and Humanities, University of Modena and Reggio Emilia, Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2239-283X","authenticated-orcid":false,"given":"Rita","family":"Cucchiara","sequence":"additional","affiliation":[{"name":"Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein","year":"2015"},{"key":"ref2","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho","year":"2020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref4","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2020"},{"key":"ref5","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Dhariwal","year":"2021"},{"key":"ref6","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nichol","year":"2021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02155"},{"key":"ref8","first-page":"36479","article-title":"Photorealistic text-to-image diffusion models with deep language understanding","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Saharia","year":"2022"},{"key":"ref9","first-page":"8821","article-title":"Zero-shot text-to-image generation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ramesh","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01130"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01350"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02345"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00104"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00872"},{"key":"ref16","article-title":"Generalizable synthetic image detection via language-guided contrastive learning","author":"Wu","year":"2023"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19990"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00222"},{"key":"ref20","first-page":"46","article-title":"Exposing DeepFake videos by detecting face warping artifacts","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Li","year":"2018"},{"key":"ref21","article-title":"Parents and children: Distinguishing multimodal DeepFakes from natural images","author":"Amoroso","year":"2023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00051"},{"key":"ref23","first-page":"3247","article-title":"Leveraging frequency analysis for deep fake image recognition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Frank","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095167"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2010.01.019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(01)00250-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2005.03.019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1101\/SQB.1976.040.01.060"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/s0079-6123(06)55002-2"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01388"},{"key":"ref34","first-page":"241","article-title":"Predicting human gaze using low-level saliency combined with face detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cerf","year":"2007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1167\/9.12.10"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00027"},{"key":"ref38","article-title":"DeepfakeArt challenge: A benchmark dataset for generative AI art forgery and data poisoning detection","author":"Aboutalebi","year":"2023"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref40","article-title":"Recognize anything: A strong image tagging model","author":"Zhang","year":"2023"},{"key":"ref41","article-title":"HIVE: Harnessing human feedback for instructional visual editing","author":"Zhang","year":"2023"},{"key":"ref42","first-page":"31428","article-title":"MagicBrush: A manually annotated dataset for instruction-guided image editing","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang","year":"2023"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/355017.355028"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/10380231\/10465604.pdf?arnumber=10465604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T15:42:09Z","timestamp":1711467729000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10465604\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3375288","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}