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Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
IACR Cryptology ePrint Archive, 2023Watermarking generative models consists of planting a statistical signal (watermark) in a model's output so that it can be later verified that the output was generated by the given model.
Hanlin Zhang +5 more
semanticscholar +1 more source
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
USENIX Security Symposium, 2023We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs). Synthesizing human-like content using LLMs necessitates vast computational resources and extensive datasets ...
Ruisi Zhang +3 more
semanticscholar +1 more source
ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN
IEEE Transactions on Instrumentation and Measurement, 2023In the existing deep learning-based watermarking models, extracted image features for fusing with watermark are not abundant enough and more critically, and essential features are not highlighted to be learned with the purpose of robust watermarking ...
Jiangtao Huang +5 more
semanticscholar +1 more source
Detecting Voice Cloning Attacks via Timbre Watermarking
Network and Distributed System Security Symposium, 2023Nowadays, it is common to release audio content to the public. However, with the rise of voice cloning technology, attackers have the potential to easily impersonate a specific person by utilizing his publicly released audio without any permission ...
Chang Liu +5 more
semanticscholar +1 more source
The Multi-Watermarks Attack of DNN Watermarking
2020 4th International Conference on Advances in Image Processing, 2020Deep learning models are widely used in business scenarios and have achieved some success. It is usually time or computing consuming to build a production-level deep learning model. As a result, such models require copyright protection by watermarks. So the security of watermarks is important.
Deyin Li, Yu Yang 0005
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Flexible and Secure Watermarking for Latent Diffusion Model
ACM Multimedia, 2023Since the significant advancements and open-source support of latent diffusion models (LDMs) in the field of image generation, numerous researchers and enterprises start fine-tuning the pre-trained models to generate specialized images for different ...
Cheng Xiong +3 more
semanticscholar +1 more source
TrustMark: Universal Watermarking for Arbitrary Resolution Images
arXiv.org, 2023Imperceptible digital watermarking is important in copyright protection, misinformation prevention, and responsible generative AI. We propose TrustMark - a GAN-based watermarking method with novel design in architecture and spatio-spectra losses to ...
Bui Tu, S. Agarwal, J. Collomosse
semanticscholar +1 more source
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
semanticscholar +1 more source
WaveRecovery: Screen-Shooting Watermarking Based on Wavelet and Recovery
IEEE transactions on circuits and systems for video technology (Print)The demand for resilient watermarking technology in the context of the screen-shooting scenario is steadily on the rise. The principal objective of this technique is to embed messages into the cover image, with the ability to effectively recover the ...
Linbo Fu +4 more
semanticscholar +1 more source