94 citations · 148 across the 10 of their papers we have counts for
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cs.CR2023
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…
cs.CR2023★ 3 cited
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
Jinglong Luo, Yehong Zhang, Jiaqi Zhang +4
Gaussian process regression (GPR) is a non-parametric model that has been used in many real-world applications that involve sensitive personal data (e.g., healthcare, finance, etc.…