{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T03:08:19Z","timestamp":1770692899572,"version":"3.49.0"},"publisher-location":"Cham","reference-count":45,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031876592","type":"print"},{"value":"9783031876608","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-87660-8_26","type":"book-chapter","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T12:03:37Z","timestamp":1745928217000},"page":"353-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["AMONOT: Synthetic Aging for\u00a0Differential Morphing Attack Detection Systems"],"prefix":"10.1007","author":[{"given":"Giuseppe","family":"Spathis","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0223-1680","authenticated-orcid":false,"given":"Nicol\u00f2","family":"Di Domenico","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2441-7524","authenticated-orcid":false,"given":"Guido","family":"Borghi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6625-6442","authenticated-orcid":false,"given":"Annalisa","family":"Franco","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6329-6756","authenticated-orcid":false,"given":"Davide","family":"Maltoni","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,30]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Antipov, G., Baccouche, M., Dugelay, J.L.: Face aging with conditional generative adversarial networks. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 2089\u20132093. IEEE (2017)","DOI":"10.1109\/ICIP.2017.8296650"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Banerjee, S., Mittal, G., Joshi, A., Hegde, C., Memon, N.: Identity-preserving aging of face images via latent diffusion models. In: 2023 IEEE International Joint Conference on Biometrics (IJCB), pp. 1\u201310. IEEE (2023)","DOI":"10.1109\/IJCB57857.2023.10448860"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Batskos, I., Spreeuwers, L., Veldhuis, R.: Visualizing landmark-based face morphing traces on digital images. Front. Comput. Sci. 5 (2023)","DOI":"10.3389\/fcomp.2023.981933"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Borghi, G., Di\u00a0Domenico, N., Franco, A., Ferrara, M., Maltoni, D.: Revelio: a modular and effective framework for reproducible training and evaluation of morphing attack detectors. IEEE Access (2023)","DOI":"10.1109\/ACCESS.2023.3328227"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Borghi, G., Franco, A., Di\u00a0Domenico, N., Ferrara, M., Maltoni, D.: V-mad: Video-based morphing attack detection in operational scenarios. In: 2024 IEEE International Joint Conference on Biometrics (IJCB). IEEE (2024)","DOI":"10.1109\/IJCB62174.2024.10744469"},{"key":"26_CR6","doi-asserted-by":"publisher","first-page":"136561","DOI":"10.1109\/ACCESS.2021.3117718","volume":"9","author":"G Borghi","year":"2021","unstructured":"Borghi, G., Franco, A., Graffieti, G., Maltoni, D.: Automated artifact retouching in morphed images with attention maps. IEEE Access 9, 136561\u2013136579 (2021)","journal-title":"IEEE Access"},{"issue":"10","key":"26_CR7","doi-asserted-by":"publisher","first-page":"3466","DOI":"10.3390\/s21103466","volume":"21","author":"G Borghi","year":"2021","unstructured":"Borghi, G., Pancisi, E., Ferrara, M., Maltoni, D.: A double siamese framework for differential morphing attack detection. Sensors 21(10), 3466 (2021)","journal-title":"Sensors"},{"key":"26_CR8","unstructured":"Chen, X., Lathuili\u00e8re, S.: Face aging via diffusion-based editing. arXiv preprint arXiv:2309.11321 (2023)"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Xue, N., Zafeiriou, S.: Arcface: additive angular margin loss for deep face recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4690\u20134699 (2019)","DOI":"10.1109\/CVPR.2019.00482"},{"key":"26_CR10","unstructured":"Di\u00a0Domenico, N., Borghi, G., Franco, A., Maltoni, D.: Dealing with subject similarity in differential morphing attack detection. arXiv preprint arXiv:2404.07667 (2024)"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Di\u00a0Domenico, N., Borghi, G., Franco, A., Maltoni, D.: Face restoration for morphed images retouching. In: 2024 12th International Workshop on Biometrics and Forensics (IWBF), pp.\u00a01\u20136. IEEE (2024)","DOI":"10.1109\/IWBF62628.2024.10593948"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Di\u00a0Domenico, N., Borghi, G., Franco, A., Maltoni, D., et\u00a0al.: Onot: a high-quality icao-compliant synthetic mugshot dataset. In: The 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp.\u00a01\u20136 (2024)","DOI":"10.1109\/FG59268.2024.10581986"},{"key":"26_CR13","unstructured":"Erickson, M.: Passport canada\u2019s citizen engagement process and the new 10-year epassport (2013)"},{"key":"26_CR14","unstructured":"FaceFusion: Facefusion. http:\/\/www.wearemoment.com\/FaceFusion\/"},{"key":"26_CR15","doi-asserted-by":"publisher","unstructured":"Ferrara, M., Franco, A.: Morph Creation and Vulnerability of Face Recognition Systems to Morphing, pp. 117\u2013137. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-87664-7_6","DOI":"10.1007\/978-3-030-87664-7_6"},{"issue":"4","key":"26_CR16","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.1109\/TIFS.2017.2777340","volume":"13","author":"M Ferrara","year":"2017","unstructured":"Ferrara, M., Franco, A., Maltoni, D.: Face demorphing. IEEE Trans. Inf. Forensics Secur. 13(4), 1008\u20131017 (2017)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Ferrara, M., Franco, A., Maltoni, D.: Face demorphing. IEEE Trans. Inf. Forensics Secur. 13(4) (2018)","DOI":"10.1109\/TIFS.2017.2777340"},{"key":"26_CR18","unstructured":"Ferrara, M., Franco, A., Maltoni, D.: Decoupling texture blending and shape warping in face morphing. In: International Conference of the Biometrics Special Interest Group (BIOSIG), September 2019"},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Gomez-Trenado, G., Lathuili\u00e8re, S., Mesejo, P., Cord\u00f3n, \u00d3.: Custom structure preservation in face aging. In: European Conference on Computer Vision, pp. 565\u2013580. Springer (2022)","DOI":"10.1007\/978-3-031-19787-1_32"},{"issue":"11","key":"26_CR20","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"key":"26_CR21","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"26_CR22","unstructured":"INGROUPE: INGROUPE web site. https:\/\/ingroupe.com\/"},{"key":"26_CR23","unstructured":"ISO\/IEC 19794-5 - Information technology - Biometric data interchange formats - Part 5: Face image data. Standard, International Organization for Standardization (2011)"},{"key":"26_CR24","unstructured":"ISO\/IEC 39794-5 - Information technology - Extensible biometric data interchange formats - Part 5: Face image data. Standard, International Organization for Standardization (2019)"},{"key":"26_CR25","doi-asserted-by":"crossref","unstructured":"Kim, M., Jain, A.K., Liu, X.: Adaface: quality adaptive margin for face recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18750\u201318759 (2022)","DOI":"10.1109\/CVPR52688.2022.01819"},{"key":"26_CR26","doi-asserted-by":"crossref","unstructured":"Makhmudkhujaev, F., Hong, S., Park, I.K.: Re-aging gan: toward personalized face age transformation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3908\u20133917 (2021)","DOI":"10.1109\/ICCV48922.2021.00388"},{"key":"26_CR27","unstructured":"Matteo, F., Annalisa, F., Davide, M.: The magic passport. In: IEEE International Joint Conference on Biometrics (IJCB\u201914), pp.\u00a01\u20137 (2014)"},{"key":"26_CR28","doi-asserted-by":"crossref","unstructured":"Meng, Q., Zhao, S., Huang, Z., Zhou, F.: Magface: a universal representation for face recognition and quality assessment. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14225\u201314234 (2021)","DOI":"10.1109\/CVPR46437.2021.01400"},{"key":"26_CR29","unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)"},{"key":"26_CR30","doi-asserted-by":"crossref","unstructured":"Phillips, P.J., et al.: Overview of the face recognition grand challenge. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905), vol.\u00a01, pp. 947\u2013954. IEEE (2005)","DOI":"10.1109\/CVPR.2005.268"},{"key":"26_CR31","unstructured":"Quek, A.: FaceMorpher morphing algorithm. https:\/\/github.com\/alyssaq\/face_morpher"},{"key":"26_CR32","doi-asserted-by":"publisher","first-page":"4336","DOI":"10.1109\/TIFS.2020.3035252","volume":"16","author":"K Raja","year":"2020","unstructured":"Raja, K., Ferrara, M., Franco, A., Spreeuwers, L., Batskos, I., De Wit, F., Gomez-Barrero, M., Scherhag, U., Fischer, D., Venkatesh, S.K., et al.: Morphing attack detection-database, evaluation platform, and benchmarking. IEEE Trans. Inf. Forensics Secur. 16, 4336\u20134351 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"26_CR33","doi-asserted-by":"crossref","unstructured":"Ricanek, K., Tesafaye, T.: Morph: a longitudinal image database of normal adult age-progression. In: 7th International Conference on Automatic Face and Gesture Recognition (FGR06), pp. 341\u2013345. IEEE (2006)","DOI":"10.1109\/FGR.2006.78"},{"key":"26_CR34","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. 10684\u201310695 (2022)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"26_CR35","doi-asserted-by":"crossref","unstructured":"Rothe, R., Timofte, R., Van\u00a0Gool, L.: Dex: deep expectation of apparent age from a single image. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 10\u201315 (2015)","DOI":"10.1109\/ICCVW.2015.41"},{"key":"26_CR36","doi-asserted-by":"crossref","unstructured":"Scherhag, U., et\u00a0al.: Biometric systems under morphing attacks: assessment of morphing techniques and vulnerability reporting. In: 2017 International Conference of the Biometrics Special Interest Group (BIOSIG), pp.\u00a01\u20137. IEEE (2017)","DOI":"10.23919\/BIOSIG.2017.8053499"},{"key":"26_CR37","doi-asserted-by":"publisher","unstructured":"Scherhag, U., Rathgeb, C., Busch, C.: Face Morphing Attack Detection Methods, pp. 331\u2013349. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-87664-7_15","DOI":"10.1007\/978-3-030-87664-7_15"},{"key":"26_CR38","doi-asserted-by":"publisher","first-page":"23012","DOI":"10.1109\/ACCESS.2019.2899367","volume":"7","author":"U Scherhag","year":"2019","unstructured":"Scherhag, U., Rathgeb, C., Merkle, J., Breithaupt, R., Busch, C.: Face recognition systems under morphing attacks: a survey. IEEE Access 7, 23012\u201323026 (2019)","journal-title":"IEEE Access"},{"key":"26_CR39","doi-asserted-by":"publisher","first-page":"3625","DOI":"10.1109\/TIFS.2020.2994750","volume":"15","author":"U Scherhag","year":"2020","unstructured":"Scherhag, U., Rathgeb, C., Merkle, J., Busch, C.: Deep face representations for differential morphing attack detection. IEEE Trans. Inf. Forensics Secur. 15, 3625\u20133639 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"26_CR40","unstructured":"SURYS Group: SURYS web site. https:\/\/surys.com\/"},{"key":"26_CR41","doi-asserted-by":"crossref","unstructured":"Venkatesh, S., Raja, K., Ramachandra, R., Busch, C.: On the influence of ageing on face morph attacks: Vulnerability and detection. In: 2020 IEEE International Joint Conference on Biometrics (IJCB), pp. 1\u201310. IEEE (2020)","DOI":"10.1109\/IJCB48548.2020.9304856"},{"key":"26_CR42","doi-asserted-by":"crossref","unstructured":"Venkatesh, S., Zhang, H., Ramachandra, R., Raja, K., Damer, N., Busch, C.: Can gan generated morphs threaten face recognition systems equally as landmark based morphs?-vulnerability and detection. In: 2020 8th International Workshop on Biometrics and Forensics (IWBF), pp.\u00a01\u20136. IEEE (2020)","DOI":"10.1109\/IWBF49977.2020.9107970"},{"key":"26_CR43","doi-asserted-by":"crossref","unstructured":"Wang, Z., Tang, X., Luo, W., Gao, S.: Face aging with identity-preserved conditional generative adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7939\u20137947 (2018)","DOI":"10.1109\/CVPR.2018.00828"},{"key":"26_CR44","doi-asserted-by":"crossref","unstructured":"Yao, X., Puy, G., Newson, A., Gousseau, Y., Hellier, P.: High resolution face age editing. In: 2020 25th International Conference on Pattern Recognition (ICPR), pp. 8624\u20138631. IEEE (2021)","DOI":"10.1109\/ICPR48806.2021.9412383"},{"issue":"3","key":"26_CR45","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1109\/TBIOM.2021.3072349","volume":"3","author":"H Zhang","year":"2021","unstructured":"Zhang, H., Venkatesh, S., Ramachandra, R., Raja, K., Damer, N., Busch, C.: Mipgan-generating strong and high quality morphing attacks using identity prior driven gan. IEEE Trans. Biometrics Behav. Identity Sci. 3(3), 365\u2013383 (2021)","journal-title":"IEEE Trans. Biometrics Behav. Identity Sci."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition. ICPR 2024 International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87660-8_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T12:04:20Z","timestamp":1745928260000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87660-8_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031876592","9783031876608"],"references-count":45,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87660-8_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"30 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}