2 citations · 2 across the 5 of their papers we have counts for
5 papers
Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures
Xinhe Mu, Zaijiu Shang, Zhaoqi Zhou +4
Score-based diffusion models have achieved remarkable empirical success, motivating extensive theoretical work to establish their foundations. However, existing complexity bounds f…
Downsizing Diffusion Models for Cardinality Estimation
Xinhe Mu, Zhaoqi Zhou, Zaijiu Shang +5
Learned cardinality estimation requires accurate model designs to capture the local characteristics of probability distributions. However, existing models may fail to accurately ca…
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
Jinglong Luo, Yehong Zhang, Zhuo Zhang +5
With the growing use of Transformer models hosted on cloud platforms to offer inference services, privacy concerns are escalating, especially concerning sensitive data like investm…
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
Xin Mu, Yu Wang, Zhengan Huang +4
In the rapidly growing digital economy, protecting intellectual property (IP) associated with digital products has become increasingly important. Within this context, machine learn…
Model Provenance via Model DNA
Xin Mu, Yu Wang, Yehong Zhang +4
Understanding the life cycle of the machine learning (ML) model is an intriguing area of research (e.g., understanding where the model comes from, how it is trained, and how it is…