4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CR2022
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…
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
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…