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cs.CR2021
Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment
Fang-Qi Li, Shi-Lin Wang, Yun Zhu
The wide application of deep learning techniques is boosting the regulation of deep learning models, especially deep neural networks (DNN), as commercial products. A necessary prer…
cs.CR2021★ 4 cited
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew
With the broad application of deep neural networks, the necessity of protecting them as intellectual properties has become evident. Numerous watermarking schemes have been proposed…
cs.CR2021★ 7 cited
Towards Practical Watermark for Deep Neural Networks in Federated Learning
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew
With the wide application of deep neural networks, it is important to verify a host's possession over a deep neural network model and protect the model. To meet this goal, various…