… digital watermarking techniques. In this work, we extend an existing distortion agnostic
watermarking … designed an attack booster applies a set of differentiable image distortions before …

… based on digital watermarking technology and model access control based on … of deep
learning model watermarking and backdoor attack, the requirements for model watermarking; …

… That is the machine learning classifier being under interference attack and … a watermark
scheme utilizing adversarial machine learning techniques. Our goal is to establish the watermark …

… digital watermarking techniques. In this work, we extend an existing distortion agnostic
watermarking … designed an attack booster applies a set of differentiable image distortions before …

… of existing model watermarking schemes, this paper proposes a novel watermarking scheme
… extraction rate and effectively withstands various watermark removal attacks. Moreover, the …

… digital watermarking techniques and deep neural networks, taking into account their learning
… can increase the stego image’s resistance to various attacks and provide superior visual …

… Abstract: This paper proposes a robust image zero-watermarking scheme based on a
multi-channel watermarking model and Support Vector Machine (SVM). In the scheme, the … …

… Attacks on digital watermarks for deep neural networks[C]//Proceedings of ICASSP 2019 -
2019 IEEE International Conference on Acoustics, Speech and Signal Processing. 2019: 2622…

… two branches, namely, image steganography and image watermarking. Steganography hides
… the metric of watermarking emphasizes robustness against various watermarking attack. …

… photo leakage behavior concealed and difficult to trace. Screen-shooting watermark is a
challenging subject in digital watermark. … Our watermark extraction results under shooting attack …