A simultaneous dual watermarking scheme for deep learning models.

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Bibliographic Details
Title: A simultaneous dual watermarking scheme for deep learning models.
Authors: Wang D; School of Mathematical Sciences, Beihang University, Beijing, 100083, China., Zhang Y; School of AI and Robotics, Xiamen University Malaysia, Sepang, Selangor, 43900, Malaysia; School of Information Science & Technology, Xiamen University Tan Kah Kee College, Zhangzhou, 363105, China. Electronic address: yingqian.zhang@xmu.edu.my., Zhou S; School of Mathematical Sciences, Chongqing Normal University, Chongqing, 401331, China., Xue Y; School of Mathematical Sciences, Beihang University, Beijing, 100083, China.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Oct; Vol. 202, pp. 109089. Date of Electronic Publication: 2026 May 10.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2782
DOI:10.1016/j.neunet.2026.109089