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cs.CR2023★ 1 cited
Intellectual Property Protection of Diffusion Models via the Watermark Diffusion Process
Sen Peng, Yufei Chen, Cong Wang +1
Diffusion models have rapidly become a vital part of deep generative architectures, given today's increasing demands. Obtaining large, high-performance diffusion models demands sig…
cs.LG2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement
Xuanqi Gao, Juan Zhai, Shiqing Ma +3
Due to the model aging problem, Deep Neural Networks (DNNs) need updates to adjust them to new data distributions. The common practice leverages incremental learning (IL), e.g., Cl…