{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:05:42Z","timestamp":1777889142852,"version":"3.51.4"},"reference-count":63,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.01588","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"17097-17107","source":"Crossref","is-referenced-by-count":0,"title":["Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection"],"prefix":"10.1109","author":[{"given":"Yingsong","family":"Huang","sequence":"first","affiliation":[{"name":"Tencent Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Guo","sequence":"additional","affiliation":[{"name":"Tencent Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Huang","sequence":"additional","affiliation":[{"name":"Hikvision"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Bai","sequence":"additional","affiliation":[{"name":"Microsoft MAI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Xiong","sequence":"additional","affiliation":[{"name":"Tencent Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1613","article-title":"Weight uncertainty in neural network","volume-title":"Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France","author":"Blundell","year":"2015"},{"key":"ref2","article-title":"Large scale GAN training for high fidelity natural image synthesis","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Brock","year":"2019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3485"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19784-0_39"},{"key":"ref5","article-title":"DRCT: diffusion reconstruction contrastive training towards universal detection of diffusion generated images","volume-title":"Fortyfirst International Conference on Machine Learning, ICML 2024","author":"Chen","year":"2024"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00104"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095167"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00439"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_4"},{"key":"ref10","first-page":"20089","article-title":"Laplace redux - effortless bayesian deep learning","volume-title":"Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021","author":"Daxberger","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00103"},{"key":"ref13","first-page":"87808794","article-title":"Diffusion models beat gans on image synthesis","volume-title":"Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021","author":"Dhariwal","year":"2021"},{"key":"ref14","article-title":"Hany Farid. Lighting (in)consistency of paint by text","year":"2022","journal-title":"CoRR"},{"key":"ref15","article-title":"\u2019in-between\u2019 uncertainty in bayesian neural networks","author":"Foong","year":"2019","journal-title":"CoRR"},{"key":"ref16","first-page":"3247","article-title":"Leveraging frequency analysis for deep fake image recognition","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","author":"Frank","year":"2020"},{"key":"ref17","author":"Gal","year":"2016","journal-title":"Uncertainty in deep learning"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428429"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01043"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01043"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","article-title":"Denoising diffusion probabilistic models","volume-title":"Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020","author":"Ho","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20654"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01606-8"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref26","article-title":"Auto-encoding variational bayes","volume-title":"2nd International Conference on Learning Representations, ICLR 2014","author":"Kingma"},{"key":"ref27","article-title":"Bayesdiff: Estimating pixel-wise uncertainty in diffusion via bayesian inference","volume-title":"The Twelfth International Conference on Learning Representations, ICLR 2024","author":"Kou"},{"key":"ref28","first-page":"5436","article-title":"Being bayesian, even just a bit, fixes overconfidence in relu networks","volume-title":"Proceedings of the 37 th International Conference on Machine Learning, ICML 2020","author":"Kristiadi","year":"2020"},{"key":"ref29","first-page":"6402","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Lakshminarayanan"},{"key":"ref30","first-page":"598","article-title":"Optimal brain damage","volume-title":"Advances in Neural Information Processing Systems 2, [NIPS Conference, Denver","author":"Yann"},{"key":"ref31","article-title":"Forgerygpt: Multimodal large language model for explainable image forgery detection and localization","author":"Li","year":"2024","journal-title":"CoRR"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00505"},{"key":"ref33","article-title":"Detecting multimedia generated by large ai models: A survey","author":"Lin","year":"2024","journal-title":"arXiv preprint"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00808"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0418"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.01609"},{"key":"ref39","article-title":"Exposing the fake: Effective diffusion-generated images detection","author":"Ma","year":"2023","journal-title":"CoRR"},{"key":"ref40","first-page":"13132","article-title":"A simple baseline for bayesian uncertainty in deep learning","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019","author":"Maddox"},{"key":"ref41","article-title":"Detecting gangenerated imagery using color cues","author":"McCloskey","year":"2018","journal-title":"CoRR"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/979-8-8688-0336-9_1"},{"key":"ref43","first-page":"16784","article-title":"GLIDE: towards photorealistic image generation and editing with text-guided diffusion models","volume-title":"International Conference on Machine Learning, ICML 2022","author":"Quinn Nichol"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02345"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_6"},{"key":"ref46","first-page":"87488763","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proceedings of the 38th International Conference on Machine Learning, ICML 2021","author":"Radford","year":"2021"},{"key":"ref47","article-title":"A scalable laplace approximation for neural networks","volume-title":"6 th International Conference on Learning Representations, ICLR 2018","author":"Ritter"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3576915.3616588"},{"key":"ref50","article-title":"Denoising diffusion implicit models","volume-title":"9th International Conference on Learning Representations, ICLR 2021","author":"Song"},{"key":"ref51","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"9th International Conference on Learning Representations, ICLR 2021","author":"Song","year":"2021"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01165"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02657"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28310"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02051"},{"key":"ref56","article-title":"Fewshot learner generalizes across ai-generated image detection","author":"Wu","year":"2025","journal-title":"CoRR"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3469379.3469388"},{"key":"ref58","author":"Yan","year":"2025","journal-title":"A sanity check for aigenerated image detection"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00365"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS47025.2019.9035107"},{"key":"ref62","article-title":"Diffusion noise feature: Accurate and fast generated image detection","author":"Zhang","year":"2023","journal-title":"CoRR"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.52202\/075280-3398"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11445537.pdf?arnumber=11445537","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:08:02Z","timestamp":1777612082000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11445537\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.01588","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}