{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T16:20:38Z","timestamp":1771258838455,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":26,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819561223","type":"print"},{"value":"9789819561230","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-6123-0_45","type":"book-chapter","created":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T15:43:48Z","timestamp":1771256628000},"page":"482-492","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Bridging Synthetic and\u00a0Real Domains for\u00a0Face Presentation Attack Detection via\u00a0Entropy-Regularized Alignment"],"prefix":"10.1007","author":[{"given":"Lin","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiling","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,17]]},"reference":[{"issue":"5","key":"45_CR1","first-page":"5609","volume":"45","author":"Z Yu","year":"2023","unstructured":"Yu, Z., Qin, Y., Li, X., Zhao, C., Lei, Z., Zhao, G.: Deep learning for face anti-spoofing: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(5), 5609\u20135631 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"45_CR2","doi-asserted-by":"crossref","unstructured":"Hernandez-Ortega, J., Fierrez, J., Morales, A., Galbally, J. In: Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances, 3rd edn. Springer (2023)","DOI":"10.1007\/978-981-19-5288-3_9"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Zha, D., et al.: Data-centric artificial intelligence: a survey. ACM Comput. Surv. 57(5), 129:1\u2013129:42 (2025)","DOI":"10.1145\/3711118"},{"key":"45_CR4","unstructured":"C\u00e9sar Augusto Fontanillo L\u00f3pez and Abdullah Elbi: On synthetic data: a brief introduction for data protection law dummies (2022)"},{"issue":"4","key":"45_CR5","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TIFS.2015.2400395","volume":"10","author":"D Wen","year":"2015","unstructured":"Wen, D., Han, H., Jain, A.K.: Face spoof detection with image distortion analysis. IEEE Trans. Inf. Forensics Secur. 10(4), 746\u2013761 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"45_CR6","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Yan, J., Liu, S., Lei, Z., Yi, D., Li, S.Z.: A face antispoofing database with diverse attacks. In: ICB, pp. 26\u201331. IEEE (2012)","DOI":"10.1109\/ICB.2012.6199754"},{"key":"45_CR7","doi-asserted-by":"crossref","unstructured":"Boulkenafet, Z., Komulainen, J., Li, L., Feng, X., Hadid, A.: OULU-NPU: a mobile face presentation attack database with real-world variations. In: FG. IEEE Computer Society (2017)","DOI":"10.1109\/FG.2017.77"},{"key":"45_CR8","unstructured":"Chingovska, I., Anjos, A., Marcel, S.: On the effectiveness of local binary patterns in face anti-spoofing. In: BIOSIG, LNI. vol. P-196, 1\u20137. GI (2012)"},{"key":"45_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1007\/978-3-030-58610-2_5","volume-title":"Computer Vision \u2013 ECCV 2020","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., et al.: CelebA-spoof: large-scale face anti-spoofing dataset with rich annotations. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12357, pp. 70\u201385. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58610-2_5"},{"key":"45_CR10","unstructured":"Yang, B., Zhang, J., Yin, Z., Shao, J.: Few-shot domain expansion for face anti-spoofing. CoRR abs\/2106.14162 (2021)"},{"key":"45_CR11","doi-asserted-by":"crossref","unstructured":"Chen, C., Li, Y., Zhang, J., Liu, J., Wang, C.: Generative data augmentation with liveness information preserving for face anti-spoofing. In: ICMR, pp. 302\u2013310. ACM (2024)","DOI":"10.1145\/3652583.3658078"},{"key":"45_CR12","doi-asserted-by":"publisher","first-page":"2333","DOI":"10.1109\/TIFS.2023.3266138","volume":"18","author":"W Wang","year":"2023","unstructured":"Wang, W., Liu, P., Zheng, H., Ying, R., Wen, F.: Domain generalization for face anti-spoofing via negative data augmentation. IEEE Trans. Inf. Forensics Secur. 18, 2333\u20132344 (2023)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"4","key":"45_CR13","doi-asserted-by":"publisher","first-page":"1689","DOI":"10.1007\/s11263-024-02240-2","volume":"133","author":"R Cai","year":"2025","unstructured":"Cai, R., Soh, C., Yu, Z., Li, H., Yang, W., Kot, A.C.: Towards data-centric face anti-spoofing: improving cross-domain generalization via physics-based data synthesis. Int. J. Comput. Vis. 133(4), 1689\u20131710 (2025)","journal-title":"Int. J. Comput. Vis."},{"key":"45_CR14","doi-asserted-by":"crossref","unstructured":"Qiu, H., Yu, B., Gong, D., Li, Z., Liu, W., Tao, D.: SynFace: face recognition with synthetic data. In: ICCV, pp. 10860\u201310870. IEEE (2021)","DOI":"10.1109\/ICCV48922.2021.01070"},{"key":"45_CR15","doi-asserted-by":"crossref","unstructured":"Fang, M., Huber, M., Damer, N.: SynthASpoof: developing face presentation attack detection based on privacy-friendly synthetic data. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, 17\u201324 June 2023, pp. 1061\u20131070. IEEE (2023)","DOI":"10.1109\/CVPRW59228.2023.00113"},{"key":"45_CR16","doi-asserted-by":"publisher","first-page":"104688","DOI":"10.1016\/j.imavis.2023.104688","volume":"135","author":"F Boutros","year":"2023","unstructured":"Boutros, F., Struc, V., Fierrez, J., Damer, N.: Synthetic data for face recognition: current state and future prospects. Image Vis. Comput. 135, 104688 (2023)","journal-title":"Image Vis. Comput."},{"key":"45_CR17","doi-asserted-by":"crossref","unstructured":"Damer, N., L\u00f3pez, C.A.F., Fang, M., Spiller, N., Pham, M.V., Boutros, F.: Privacy-friendly synthetic data for the development of face morphing attack detectors. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, 19\u201320 June 2022, pp. 1605\u20131616. IEEE (2022)","DOI":"10.1109\/CVPRW56347.2022.00167"},{"key":"45_CR18","first-page":"723","volume":"13","author":"A Gretton","year":"2012","unstructured":"Gretton, A., Borgwardt, K.M., Rasch, M.J., Sch\u00f6lkopf, B., Smola, A.J.: A kernel two-sample test. J. Mach. Learn. Res. 13, 723\u2013773 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"45_CR19","doi-asserted-by":"crossref","unstructured":"Sun, B., Feng, J., Saenko, K.: Return of frustratingly easy domain adaptation. In: AAAI, pp. 2058\u20132065. AAAI Press (2016)","DOI":"10.1609\/aaai.v30i1.10306"},{"key":"45_CR20","doi-asserted-by":"crossref","unstructured":"Fang, M., et al.: Synfacepad 2023: Competition on face presentation attack detection based on privacy-aware synthetic training data. In: IEEE International Joint Conference on Biometrics, IJCB 2023, Ljubljana, Slovenia, 25\u201328 September 2023, pp. 1\u201311. IEEE (2023)","DOI":"10.1109\/IJCB57857.2023.10449130"},{"key":"45_CR21","doi-asserted-by":"crossref","unstructured":"Ozgur, G., Caldeira, E., Chettaoui, T., Boutros, F., Ramachandra, R., Damer, N.: FoundPAD: foundation models reloaded for face presentation attack detection. In: IEEE\/CVF Winter Conference on Applications of Computer Vision, WACV 2025 - Workshops, Tucson, AZ, USA, 28 February\u20134 March 2025, pp. 697\u2013707. IEEE (2025)","DOI":"10.1109\/WACVW65960.2025.00084"},{"key":"45_CR22","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"45_CR23","doi-asserted-by":"crossref","unstructured":"Liu, Y., Stehouwer, J., Jourabloo, A., Liu, X.: Deep tree learning for zero-shot face anti-spoofing. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, 16\u201320 June 2019, pp. 4680\u20134689. Computer Vision Foundation\/IEEE (2019)","DOI":"10.1109\/CVPR.2019.00481"},{"key":"45_CR24","doi-asserted-by":"crossref","unstructured":"Yu, Z., Qin, Y., Zhao, H., Li, X., Zhao, G.: Dual-cross central difference network for face anti-spoofing. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event\/Montreal, Canada, pp. 1281\u20131287. ijcai.org (2021)","DOI":"10.24963\/ijcai.2021\/177"},{"key":"45_CR25","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/TIFS.2020.3002390","volume":"16","author":"G Wang","year":"2021","unstructured":"Wang, G., Han, H., Shan, S., Chen, X.: Unsupervised adversarial domain adaptation for cross-domain face presentation attack detection. IEEE Trans. Inf. Forensics Secur. 16, 56\u201369 (2021)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"45_CR26","unstructured":"International Organization for Standardization: ISO\/IEC DIS 30107-3:2016: Information Technology \u2013 Biometric presentation attack detection \u2013 P. 3: Testing and reporting (2017)"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-6123-0_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T15:43:53Z","timestamp":1771256633000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-6123-0_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819561223","9789819561230"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-6123-0_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"17 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Biometric Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccbr2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ccbr99.cn\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}