ROSE: A RObust and SEcure DNN Watermarking
@article{Kallas2022ROSEAR, title={ROSE: A RObust and SEcure DNN Watermarking}, author={Kassem Kallas and Teddy Furon}, journal={2022 IEEE International Workshop on Information Forensics and Security (WIFS)}, year={2022}, pages={1-6} }
Protecting the Intellectual Property rights of DNN models is of primary importance prior to their deployment. So far, the proposed methods either necessitate changes to internal model parameters or the machine learning pipeline, or they fail to meet both the security and robustness requirements. This paper proposes a lightweight, robust, and secure black-box DNN watermarking protocol that takes advantage of cryptographic one-way functions as well as the injection of in-task key image-label…
One Citation
Mixer: DNN Watermarking using Image Mixup
- Computer ScienceArXiv
- 2022
The extensive experiments on image classification models for different datasets as well as exposing them to a variety of attacks, show that the proposed watermarking provides protection with an adequate level of security and robustness.
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