{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:39:08Z","timestamp":1743035948057,"version":"3.40.3"},"publisher-location":"Cham","reference-count":44,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031781216"},{"type":"electronic","value":"9783031781223"}],"license":[{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"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\/978-3-031-78122-3_15","type":"book-chapter","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T07:17:44Z","timestamp":1733296664000},"page":"226-242","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["FedSC: Federated Generalized Face Anti-Spoofing via\u00a0Shuffled Codebook"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5882-6054","authenticated-orcid":false,"given":"Shuai","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3559-9346","authenticated-orcid":false,"given":"Mei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5952-6996","authenticated-orcid":false,"given":"Weihong","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4407-893X","authenticated-orcid":false,"given":"Jiani","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,5]]},"reference":[{"key":"15_CR1","unstructured":"Albuquerque, I., Monteiro, J., Darvishi, M., Falk, T.H., Mitliagkas, I.: Generalizing to unseen domains via distribution matching. arXiv preprint arXiv:1911.00804 (2019)"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Atoum, Y., Liu, Y., Jourabloo, A., Liu, X.: Face anti-spoofing using patch and depth-based CNNs. In: 2017 IEEE International Joint Conference on Biometrics (IJCB), pp. 319\u2013328. IEEE (2017)","DOI":"10.1109\/BTAS.2017.8272713"},{"key":"15_CR3","unstructured":"Bengio, S., Mari\u00e9thoz, J.: A statistical significance test for person authentication. In: Proceedings of Odyssey 2004: The Speaker and Language Recognition Workshop, No.\u00a0CONF (2004)"},{"key":"15_CR4","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: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), pp. 612\u2013618. IEEE (2017)","DOI":"10.1109\/FG.2017.77"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Chen, J., Jiang, M., Dou, Q., Chen, Q.: Federated domain generalization for image recognition via cross-client style transfer. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 361\u2013370 (2023)","DOI":"10.1109\/WACV56688.2023.00044"},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"Chen, X., He, K.: Exploring simple siamese representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15750\u201315758 (2021)","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"15_CR7","unstructured":"Chingovska, I., Anjos, A., Marcel, S.: On the effectiveness of local binary patterns in face anti-spoofing. In: 2012 BIOSIG-Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG), pp.\u00a01\u20137. IEEE (2012)"},{"key":"15_CR8","unstructured":"David, S.B., Lu, T., Luu, T., P\u00e1l, D.: Impossibility theorems for domain adaptation. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp. 129\u2013136. JMLR Workshop and Conference Proceedings (2010)"},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1109\/TIFS.2020.3029879","volume":"16","author":"D Deb","year":"2020","unstructured":"Deb, D., Jain, A.K.: Look locally infer globally: a generalizable face anti-spoofing approach. IEEE Trans. Inf. Forens. Secur. 16, 1143\u20131157 (2020)","journal-title":"IEEE Trans. Inf. Forens. Secur."},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"de\u00a0Freitas\u00a0Pereira, T., Anjos, A., De\u00a0Martino, J.M., Marcel, S.: LBP- top based countermeasure against face spoofing attacks. In: Computer Vision-ACCV 2012 Workshops: ACCV 2012 International Workshops, Daejeon, 5\u20136 November 2012, Revised Selected Papers, Part I, vol. 11, pp. 121\u2013132. Springer (2013)","DOI":"10.1007\/978-3-642-37410-4_11"},{"key":"15_CR11","unstructured":"Ganin, Y., Lempitsky, V.: Unsupervised domain adaptation by backpropagation. In: International Conference on Machine Learning, pp. 1180\u20131189. PMLR (2015)"},{"key":"15_CR12","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":"15_CR13","doi-asserted-by":"crossref","unstructured":"Huang, X., Belongie, S.: Arbitrary style transfer in real-time with adaptive instance normalization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1501\u20131510 (2017)","DOI":"10.1109\/ICCV.2017.167"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Jia, Y., Zhang, J., Shan, S., Chen, X.: Single-side domain generalization for face anti-spoofing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8484\u20138493 (2020)","DOI":"10.1109\/CVPR42600.2020.00851"},{"key":"15_CR15","unstructured":"Kone\u010dn\u1ef3, J., McMahan, H.B., Yu, F.X., Richt\u00e1rik, P., Suresh, A.T., Bacon, D.: Federated learning: strategies for improving communication efficiency. arXiv preprint arXiv:1610.05492 (2016)"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Li, H., Pan, S.J., Wang, S., Kot, A.C.: Domain generalization with adversarial feature learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5400\u20135409 (2018)","DOI":"10.1109\/CVPR.2018.00566"},{"key":"15_CR17","first-page":"3118","volume":"33","author":"H Li","year":"2020","unstructured":"Li, H., Wang, Y., Wan, R., Wang, S., Li, T.Q., Kot, A.: Domain generalization for medical imaging classification with linear-dependency regularization. Adv. Neural. Inf. Process. Syst. 33, 3118\u20133129 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Lin, B., Li, X., Yu, Z., Zhao, G.: Face liveness detection by RPPG features and contextual patch-based CNN. In: Proceedings of the 2019 3rd International Conference on Biometric Engineering and Applications, pp. 61\u201368 (2019)","DOI":"10.1145\/3345336.3345345"},{"key":"15_CR19","doi-asserted-by":"crossref","unstructured":"Liu, Q., Chen, C., Qin, J., Dou, Q., Heng, P.A.: Feddg: federated domain generalization on medical image segmentation via episodic learning in continuous frequency space. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1013\u20131023 (2021)","DOI":"10.1109\/CVPR46437.2021.00107"},{"key":"15_CR20","doi-asserted-by":"crossref","unstructured":"Liu, S., et al.: Adaptive normalized representation learning for generalizable face anti-spoofing. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 1469\u20131477 (2021)","DOI":"10.1145\/3474085.3475279"},{"key":"15_CR21","unstructured":"Van\u00a0der Maaten, L., Hinton, G.: Visualizing data using t-sne. J. Mach. Learn. Res. 9(11) (2008)"},{"key":"15_CR22","unstructured":"McMahan, B., Moore, E., Ramage, D., Hampson, S., Arcas, B.A.: Communication-efficient learning of deep networks from decentralized data. In: Artificial Intelligence and Statistics, pp. 1273\u20131282. PMLR (2017)"},{"issue":"10","key":"15_CR23","doi-asserted-by":"publisher","first-page":"2268","DOI":"10.1109\/TIFS.2016.2578288","volume":"11","author":"K Patel","year":"2016","unstructured":"Patel, K., Han, H., Jain, A.K.: Secure face unlock: spoof detection on smartphones. IEEE Trans. Inf. Forens. Secur. 11(10), 2268\u20132283 (2016)","journal-title":"IEEE Trans. Inf. Forens. Secur."},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Qin, Y., et al.: Learning meta model for zero-and few-shot face anti-spoofing. Proc. AAAI Conf. Artif. Intell. 34, 11916\u201311923 (2020)","DOI":"10.1609\/aaai.v34i07.6866"},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Shao, R., Lan, X., Li, J., Yuen, P.C.: Multi-adversarial discriminative deep domain generalization for face presentation attack detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10023\u201310031 (2019)","DOI":"10.1109\/CVPR.2019.01026"},{"key":"15_CR26","doi-asserted-by":"crossref","unstructured":"Shao, R., Lan, X., Yuen, P.C.: Regularized fine-grained meta face anti-spoofing. Proc. AAAI Conf. Artif. Intell. 34, 11974\u201311981 (2020)","DOI":"10.1609\/aaai.v34i07.6873"},{"key":"15_CR27","unstructured":"Shao, R., Perera, P., Yuen, P.C., Patel, V.M.: Federated generalized face presentation attack detection. IEEE Trans. Neural Netw. Learn. Syst. (2022)"},{"key":"15_CR28","doi-asserted-by":"crossref","unstructured":"Sun, Y., Liu, Y., Liu, X., Li, Y., Chu, W.S.: Rethinking domain generalization for face anti-spoofing: Separability and alignment. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 24563\u201324574 (2023)","DOI":"10.1109\/CVPR52729.2023.02353"},{"key":"15_CR29","doi-asserted-by":"crossref","unstructured":"Torralba, A., Efros, A.A.: Unbiased look at dataset bias. In: CVPR 2011, pp. 1521\u20131528. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"15_CR30","unstructured":"Van Den\u00a0Oord, A., Vinyals, O., et\u00a0al.: Neural discrete representation learning. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"15_CR31","doi-asserted-by":"crossref","unstructured":"Wang, G., Han, H., Shan, S., Chen, X.: Cross-domain face presentation attack detection via multi-domain disentangled representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6678\u20136687 (2020)","DOI":"10.1109\/CVPR42600.2020.00671"},{"key":"15_CR32","doi-asserted-by":"crossref","unstructured":"Wang, J., Zhang, J., Bian, Y., Cai, Y., Wang, C., Pu, S.: Self-domain adaptation for face anti-spoofing. Proc. AAAI Conf. Artif. Intell. 35, 2746\u20132754 (2021)","DOI":"10.1609\/aaai.v35i4.16379"},{"key":"15_CR33","doi-asserted-by":"crossref","unstructured":"Wang, W., Liu, P., Zheng, H., Ying, R., Wen, F.: Domain generalization for face anti-spoofing via negative data augmentation. IEEE Trans. Inf. Forens. Secur. (2023)","DOI":"10.1109\/TIFS.2023.3266138"},{"key":"15_CR34","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1109\/TIFS.2022.3158062","volume":"17","author":"Z Wang","year":"2022","unstructured":"Wang, Z., Wang, Q., Deng, W., Guo, G.: Learning multi-granularity temporal characteristics for face anti-spoofing. IEEE Trans. Inf. Forens. Secur. 17, 1254\u20131269 (2022)","journal-title":"IEEE Trans. Inf. Forens. Secur."},{"key":"15_CR35","doi-asserted-by":"crossref","unstructured":"Wang, Z., et al.: Domain generalization via shuffled style assembly for face anti-spoofing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4123\u20134133 (2022)","DOI":"10.1109\/CVPR52688.2022.00409"},{"issue":"4","key":"15_CR36","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. Forens. Secur. 10(4), 746\u2013761 (2015)","journal-title":"IEEE Trans. Inf. Forens. Secur."},{"key":"15_CR37","doi-asserted-by":"crossref","unstructured":"Yu, Z., Li, X., Niu, X., Shi, J., Zhao, G.: Face anti-spoofing with human material perception. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, 23\u201328 August 2020, Proceedings, Part VII, 16, pp. 557\u2013575. Springer (2020)","DOI":"10.1007\/978-3-030-58571-6_33"},{"issue":"5","key":"15_CR38","first-page":"5609","volume":"45","author":"Z Yu","year":"2022","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 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"15_CR39","doi-asserted-by":"crossref","unstructured":"Yu, Z., et al.: Searching central difference convolutional networks for face anti-spoofing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5295\u20135305 (2020)","DOI":"10.1109\/CVPR42600.2020.00534"},{"issue":"10","key":"15_CR40","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang, K., Zhang, Z., Li, Z., Qiao, Y.: Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process. Lett. 23(10), 1499\u20131503 (2016)","journal-title":"IEEE Signal Process. Lett."},{"key":"15_CR41","doi-asserted-by":"crossref","unstructured":"Zhang, R., Xu, Q., Yao, J., Zhang, Y., Tian, Q., Wang, Y.: Federated domain generalization with generalization adjustment. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3954\u20133963 (2023)","DOI":"10.1109\/CVPR52729.2023.00385"},{"key":"15_CR42","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: 2012 5th IAPR International Conference on Biometrics (ICB), pp. 26\u201331. IEEE (2012)","DOI":"10.1109\/ICB.2012.6199754"},{"key":"15_CR43","doi-asserted-by":"crossref","unstructured":"Zhou, K., Liu, Z., Qiao, Y., Xiang, T., Loy, C.C.: Domain generalization: a survey. IEEE Trans. Pattern Anal. Mach. Intell. (2022)","DOI":"10.1109\/TPAMI.2022.3195549"},{"key":"15_CR44","doi-asserted-by":"publisher","first-page":"5352","DOI":"10.1109\/TIFS.2021.3125603","volume":"16","author":"L Zhou","year":"2021","unstructured":"Zhou, L., Luo, J., Gao, X., Li, W., Lei, B., Leng, J.: Selective domain-invariant feature alignment network for face anti-spoofing. IEEE Trans. Inf. Forens. Secur. 16, 5352\u20135365 (2021)","journal-title":"IEEE Trans. Inf. Forens. Secur."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78122-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T08:11:55Z","timestamp":1733299915000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78122-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,5]]},"ISBN":["9783031781216","9783031781223"],"references-count":44,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78122-3_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,5]]},"assertion":[{"value":"5 December 2024","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"}}]}}