8 citations · 20 across the 7 of their papers we have counts for
7 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…
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers
Fangqi Li, Shilin Wang, Yun Zhu
Backdoor-based watermarking schemes were proposed to protect the intellectual property of artificial intelligence models, especially deep neural networks, under the black-box setti…
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks
Fangqi Li, Shilin Wang
Watermarking has become a plausible candidate for ownership verification and intellectual property protection of deep neural networks. Regarding image classification neural network…
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…
Secure Watermark for Deep Neural Networks with Multi-task Learning
Fangqi Li, Shilin Wang
Deep neural networks are playing an important role in many real-life applications. After being trained with abundant data and computing resources, a deep neural network model provi…