Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images

19 April 2021

Papers citing "Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images"

3 / 3 papers shown

Title
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring Wenyuan Yang Shuo Shao Yue Yang Xiyao Liu Ximeng Liu Zhihua Xia Gerald Schaefer Hui Fang FedML 77 24 0 14 Nov 2022
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features Mingfu Xue Xin Wang Ying-Chang Wu S. Ni Yushu Zhang Weiqiang Liu 132 2 0 14 Oct 2022
Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering Yong-Jin Liu Hanzhou Wu Xinpeng Zhang AAML 85 9 0 08 Aug 2022