Domain watermark: Effective and harmless dataset copyright protection is closed at hand

J Guo, Y Li, L Wang, ST Xia… - Advances in Neural …, 2024 - proceedings.neurips.cc
The prosperity of deep neural networks (DNNs) is largely benefited from open-source
datasets, based on which users can evaluate and improve their methods. In this paper, we …

[PDF][PDF] Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

J Guo, Y Li, L Wang, ST Xia, H Huang, C Liu, B Li - researchgate.net
The prosperity of deep neural networks (DNNs) is largely benefited from opensource
datasets, based on which users can evaluate and improve their methods. In this paper, we …

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

J Guo, Y Li, L Wang, ST Xia, H Huang, C Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
The prosperity of deep neural networks (DNNs) is largely benefited from open-source
datasets, based on which users can evaluate and improve their methods. In this paper, we …

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

J Guo, Y Li, L Wang, ST Xia, H Huang, C Liu… - arXiv e …, 2023 - ui.adsabs.harvard.edu
The prosperity of deep neural networks (DNNs) is largely benefited from open-source
datasets, based on which users can evaluate and improve their methods. In this paper, we …

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

J Guo, Y Li, L Wang, ST Xia, H Huang… - … seventh Conference on …, 2023 - openreview.net
The prosperity of deep neural networks (DNNs) is largely benefited from open-source
datasets, based on which users can evaluate and improve their methods. In this paper, we …

[PDF][PDF] Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

J Guo, Y Li, L Wang, ST Xia, H Huang, C Liu, B Li - researchgate.net
The prosperity of deep neural networks (DNNs) is largely benefited from opensource
datasets, based on which users can evaluate and improve their methods. In this paper, we …