7 citations · 11 across the 4 of their papers we have counts for
4 papers
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule
Hongyu Zhu, Sichu Liang, Wentao Hu +4
As a modern ensemble technique, Deep Forest (DF) employs a cascading structure to construct deep models, providing stronger representational power compared to traditional decision…
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…
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…
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…