{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:22:36Z","timestamp":1771953756833,"version":"3.50.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031475078","type":"print"},{"value":"9783031475085","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-47508-5_13","type":"book-chapter","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T09:16:09Z","timestamp":1706692569000},"page":"157-169","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["AI Generated Art: Latent Diffusion-Based Style and\u00a0Detection"],"prefix":"10.1007","author":[{"given":"Jordan J.","family":"Bird","sequence":"first","affiliation":[]},{"given":"Chloe M.","family":"Barnes","sequence":"additional","affiliation":[]},{"given":"Ahmad","family":"Lotfi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,1]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10,684\u201310,695 (2022)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"13_CR2","first-page":"2022","volume":"2","author":"K Roose","year":"2022","unstructured":"Roose, K.: An AI-generated picture won an art prize. artists aren\u2019t happy. The New York Times 2, 2022 (2022)","journal-title":"The New York Times"},{"issue":"9","key":"13_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2020.101515","volume":"23","author":"Z Epstein","year":"2020","unstructured":"Epstein, Z., Levine, S., Rand, D.G., Rahwan, I.: Who gets credit for AI-generated art? Iscience 23(9), 101515 (2020)","journal-title":"Iscience"},{"key":"13_CR4","unstructured":"Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., Sutskever, I.: Zero-shot text-to-image generation. In: International Conference on Machine Learning, pp. 8821\u20138831. PMLR (2021)"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, S.K.S., Ayan, B.K., Mahdavi, S.S., Lopes, R.G., et al.: Photorealistic text-to-image diffusion models with deep language understanding. arXiv:2205.11487 (2022)","DOI":"10.1145\/3528233.3530757"},{"key":"13_CR6","unstructured":"Schuhmann, C., Beaumont, R., Vencu, R., Gordon, C., Wightman, R., Cherti, M., Coombes, T., Katta, A., Mullis, C., Wortsman, M., et al.: Laion-5b: an open large-scale dataset for training next generation image-text models. arXiv:2210.08402 (2022)"},{"key":"13_CR7","unstructured":"Chambon, P., Bluethgen, C., Langlotz, C.P., Chaudhari, A.: Adapting pretrained vision-language foundational models to medical imaging domains. arXiv:2210.04133 (2022)"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Yi, D., Guo, C., Bai, T.: Exploring painting synthesis with diffusion models. In: 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), pp. 332\u2013335. IEEE (2021)","DOI":"10.1109\/DTPI52967.2021.9540115"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Sha, Z., Li, Z., Yu, N., Zhang, Y.: De-fake: detection and attribution of fake images generated by text-to-image diffusion models. arXiv:2210.06998 (2022)","DOI":"10.1145\/3576915.3616588"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Amerini, I., Galteri, L., Caldelli, R., Del Bimbo, A.: Deepfake video detection through optical flow based CNN. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision Workshops (2019)","DOI":"10.1109\/ICCVW.2019.00152"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Saikia, P., Dholaria, D., Yadav, P., Patel, V., Roy, M.: A hybrid CNN-LSTM model for video deepfake detection by leveraging optical flow features. In: 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20137. IEEE (2022)","DOI":"10.1109\/IJCNN55064.2022.9892905"},{"issue":"1","key":"13_CR12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s41235-016-0043-2","volume":"2","author":"SJ Nightingale","year":"2017","unstructured":"Nightingale, S.J., Wade, K.A., Watson, D.G.: Can people identify original and manipulated photos of real-world scenes? Cogn. Res. Princ. Implic. 2(1), 1\u201321 (2017)","journal-title":"Cogn. Res. Princ. Implic."},{"key":"13_CR13","unstructured":"Kobiela, D., Welchman, H.: Loving Vincent. Universal Pictures. https:\/\/lovingvincent.com\/ (2017)"},{"key":"13_CR14","unstructured":"van Gogh, V.: Self-portrait (1889)"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Ruiz, N., Li, Y., Jampani, V., Pritch, Y., Rubinstein, M., Aberman, K.: Dreambooth: fine tuning text-to-image diffusion models for subject-driven generation. arXiv:2208.12242 (2022)","DOI":"10.1109\/CVPR52729.2023.02155"},{"key":"13_CR16","unstructured":"Stephenson, C., Seguin, L.: Training stable diffusion from scratch costs \\$160k. https:\/\/www.mosaicml.com\/blog\/ (2023). Accessed 03 February 2023"},{"key":"13_CR17","unstructured":"Liu, L., Ren, Y., Lin, Z., Zhao, Z.: Pseudo numerical methods for diffusion models on manifolds. arXiv:2202.09778 (2022)"},{"key":"13_CR18","unstructured":"Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. arXiv:2010.02502 (2020)"},{"key":"13_CR19","unstructured":"Karras, T., Aittala, M., Aila, T., Laine, S.: Elucidating the design space of diffusion-based generative models. arXiv:2206.00364 (2022)"},{"key":"13_CR20","unstructured":"Hu, E.J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W.: Lora: low-rank adaptation of large language models. arXiv:2106.09685 (2021)"},{"key":"13_CR21","unstructured":"Dettmers, T., Lewis, M., Belkada, Y., Zettlemoyer, L.: Llm.int8(): 8-bit matrix multiplication for transformers at scale. arXiv:2208.07339 (2022)"},{"key":"13_CR22","unstructured":"Lefaudeux, B., Massa, F., Liskovich, D., Xiong, W., Caggiano, V., Naren, S., Xu, M., Hu, J., Tintore, M., Zhang, S., Labatut, P., Haziza, D.: xformers: a modular and hackable transformer modelling library. https:\/\/github.com\/facebookresearch\/xformers (2022)"},{"key":"13_CR23","unstructured":"Dao, T., Fu, D.Y., Ermon, S., Rudra, A., R\u00e9, C.: Flash attention: fast and memory-efficient exact attention with IO-awareness. In: Advances in Neural Information Processing Systems (2022)"},{"issue":"6","key":"13_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3457607","volume":"54","author":"N Mehrabi","year":"2021","unstructured":"Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., Galstyan, A.: A survey on bias and fairness in machine learning. ACM Comput. Surv. (CSUR) 54(6), 1\u201335 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Ba, Y., Wang, Z., Karinca, K.D., Bozkurt, O.D., Kadambi, A.: Style transfer with bio-realistic appearance manipulation for skin-tone inclusive RPPG. In: 2022 IEEE International Conference on Computational Photography (ICCP), pp. 1\u201312. IEEE (2022)","DOI":"10.1109\/ICCP54855.2022.9887649"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47508-5_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T09:18:08Z","timestamp":1706692688000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47508-5_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031475078","9783031475085"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47508-5_13","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UKCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"UK Workshop on Computational Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Birmingham","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ukci2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.uk-ci.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}