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A blind watermarking technique for multiple watermarks
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003We propose a blind watermarking technique to embed multiple watermarks simultaneously. It allows the use of correlated key to embed multiple watermarks. A dual-key system is used to reduce the chance of the removal of watermark. Each embedded watermark can be decoded/detected by its own key. One direct approach and two iterative approaches are proposed
Peter H. W. Wong, Oscar C. Au
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Concealed Attack for Robust Watermarking Based on Generative Model and Perceptual Loss
IEEE transactions on circuits and systems for video technology (Print), 2022While existing watermarking attack methods can disturb the correct extraction of watermark information, the visual quality of watermarked images will be greatly damaged. Therefore, a concealed attack based on generative adversarial network and perceptual
Qi Li +6 more
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From single watermark to dual watermark: A new approach for image watermarking
Computers & Electrical Engineering, 2012Watermarking as a powerful technique for copyright protection, content verification, covert communication and so on, has been studied for years, and is drawing more and more attention recently. There are many situations in which embedding multiple watermarks in an image is desired.
Shen, H., Chen, B.
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Exploring Stable Coefficients on Joint Sub-Bands for Robust Video Watermarking in DT CWT Domain
IEEE transactions on circuits and systems for video technology (Print), 2022Video watermarking on the dual tree-complex wavelet (DT CWT) domain is shown to be effective to offer high robustness. Existing DT CWT video watermarking schemes tend to use all the coefficients on the high-pass sub-bands of the DT CWT domain for ...
Wennan Huan +3 more
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SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Conference on Computer and Communications Security, 2022Self-supervised learning is an emerging machine learning (ML) paradigm. Compared to supervised learning which leverages high-quality labeled datasets, self-supervised learning relies on unlabeled datasets to pre-train powerful encoders which can then be ...
Tianshuo Cong, Xinlei He, Yang Zhang
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2009 Sixth International Conference on Information Technology: New Generations, 2009
We have developed a new watermarking process based on the curvelet transform. By selectively removing specific ranges of curvelet coefficients we introduce a high fidelity watermark into an image. This mark has a natural resilience against rotation and scaling. The watermark can be exactly retrieved.
Mohammad Eyadat +2 more
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We have developed a new watermarking process based on the curvelet transform. By selectively removing specific ranges of curvelet coefficients we introduce a high fidelity watermark into an image. This mark has a natural resilience against rotation and scaling. The watermark can be exactly retrieved.
Mohammad Eyadat +2 more
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An improved DWT-SVD domain watermarking for medical information security
Computer Communications, 2020Exchange of patient record over network required a technique to guarantee security and privacy for tele-health services. This paper presents an improved watermarking technique capable of providing protection of patient data by embedding multi-watermarks ...
A. Anand, A. Singh
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SoK: How Robust is Image Classification Deep Neural Network Watermarking?
IEEE Symposium on Security and Privacy, 2021Deep Neural Network (DNN) watermarking is a method for provenance verification of DNN models. Watermarking should be robust against watermark removal attacks that derive a surrogate model that evades provenance verification.
Nils Lukas +3 more
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RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification
European Conference on Computer VisionWe revisit Tree-Ring Watermarking, a recent diffusion model watermarking method that demonstrates great robustness to various attacks. We conduct an in-depth study on it and reveal that the distribution shift unintentionally introduced by the ...
Hai Ci +3 more
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Protecting Intellectual Property of Deep Neural Networks with Watermarking
ACM Asia Conference on Computer and Communications Security, 2018Deep learning technologies, which are the key components of state-of-the-art Artificial Intelligence (AI) services, have shown great success in providing human-level capabilities for a variety of tasks, such as visual analysis, speech recognition, and ...
Jialong Zhang +6 more
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