{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T09:52:46Z","timestamp":1770976366051,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819698110","type":"print"},{"value":"9789819698127","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\/978-981-96-9812-7_23","type":"book-chapter","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T07:26:30Z","timestamp":1753428390000},"page":"271-282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Plug-and-Play and Invisible Multi-Bit Watermarking Scheme for Deep Neural Networks"],"prefix":"10.1007","author":[{"given":"Junhong","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyu","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenjun","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanzhou","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,26]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Orekondy, T., Schiele, B., Fritz, M.: Knockoff Nets: Stealing Functionality of Black-box Models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4954\u20134963 (2019)","DOI":"10.1109\/CVPR.2019.00509"},{"issue":"7","key":"23_CR2","doi-asserted-by":"publisher","first-page":"2591","DOI":"10.1109\/TCSVT.2020.3030671","volume":"31","author":"H Wu","year":"2020","unstructured":"Wu, H., Liu, G., Yao, Y., Zhang, X.: Watermarking Neural Networks with Watermarked Images. IEEE Trans. Circuits Syst. Video Technol. 31(7), 2591\u20132601 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Zhang, J., et al.: Protecting Intellectual Property of Deep Neural Networks with Watermarking. In: Proceedings of the 2018 on Asia Conference on Computer and Communications Security, pp. 159\u2013172 (2018)","DOI":"10.1145\/3196494.3196550"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Zhong, Q., Zhang, L.Y., Zhang, J., Gao, L., Xiang, Y.: Protecting Ip of Deep Neural Networks with Watermarking: A New Label Helps. In: Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11\u201314, 2020, Proceedings, Part II 24, pp. 462\u2013474. Springer (2020)","DOI":"10.1007\/978-3-030-47436-2_35"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Wang, R., et al.: Free Fine-tuning: A Plug-and-play Watermarking Scheme for Deep Neural Networks. In: Proceedings of the 31st ACM International Conference on Multimedia, pp. 8463\u20138474 (2023)","DOI":"10.1145\/3581783.3612331"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Li, Z., Hu, C., Zhang, Y., Guo, S.: How to Prove Your Model Belongs to You: A Blind Watermark Based Framework to Protect Intellectual Property of DNN. In: Proceedings of the 35th Annual Computer Security Applications Conference, pp. 126\u2013137 (2019)","DOI":"10.1145\/3359789.3359801"},{"issue":"14","key":"23_CR7","doi-asserted-by":"publisher","first-page":"16497","DOI":"10.1007\/s10489-022-03339-0","volume":"52","author":"M Xue","year":"2022","unstructured":"Xue, M., Sun, S., Zhang, Y., Wang, J., Liu, W.: Active intellectual property protection for deep neural networks through stealthy backdoor and users\u2019 identities authentication. Appl. Intell. 52(14), 16497\u201316511 (2022)","journal-title":"Appl. Intell."},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Liu, Y., Wu, H., Zhang, X.: Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering. IEEE Transactions on Dependable and Secure Computing (2024)","DOI":"10.1109\/TDSC.2024.3384416"},{"key":"23_CR9","unstructured":"Chen, H., Rouhani, B.D., Koushanfar, F.: Blackmarks: Blackbox Multibit Watermarking for Deep Neural Networks. arXiv preprint arXiv:1904.00344 (2019)"},{"key":"23_CR10","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/LSP.2023.3239737","volume":"30","author":"L Li","year":"2023","unstructured":"Li, L., Zhang, W., Barni, M.: Universal blackmarks: key-image-free blackbox multi-bit watermarking of deep neural networks. IEEE Signal Process. Lett. 30, 36\u201340 (2023)","journal-title":"IEEE Signal Process. Lett."},{"key":"23_CR11","unstructured":"Dosovitskiy, A.: An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv preprint arXiv:2010.11929 (2020)"},{"key":"23_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"},{"issue":"1","key":"23_CR13","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/18.61115","volume":"37","author":"J Lin","year":"1991","unstructured":"Lin, J.: Divergence Measures Based on the Shannon Entropy. IEEE Trans. Inf. Theory 37(1), 145\u2013151 (1991)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"23_CR14","unstructured":"Fan, L., Ng, K.W., Chan, C.S.: Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. Adv. Neural Info. Proces. Sys. 32 (2019)"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Gao, Y., et al.: Strip: a defence against trojan attacks on deep neural networks. In: Proceedings of the 35th Annual Computer Security Applications Conference, pp. 113\u2013125 (2019)","DOI":"10.1145\/3359789.3359790"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Leroux, S., Vanassche, S., Simoens, P.: Multi-bit Black-box Watermarking of Deep Neural Networks in Embedded Applications. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2121\u20132130 (2024)","DOI":"10.1109\/CVPRW63382.2024.00217"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9812-7_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T08:57:38Z","timestamp":1770973058000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9812-7_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819698110","9789819698127"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9812-7_23","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":"26 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","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":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}