10 citations · 31 across the 22 of their papers we have counts for
4 papers · 1 filter
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
Jingfu Peng, Yuhong Yang
Despite tremendous advancements of machine learning models and algorithms in various application domains, they are known to be vulnerable to subtle, natural or intentionally crafte…
Penalized Network Cross-Validation for Nested Models by Edge-Sampling
Bokai Yang, Yuanxing Chen, Yuhong Yang
In the network literature, a wide range of statistical models has been proposed to exploit structural patterns in the data. Therefore, model selection between different models is a…
Network Model Averaging Prediction for Latent Space Models by K-Fold Edge Cross-Validation
Yan Zhang, Jun Liao, Xinyan Fan +2
In complex systems, networks represent connectivity relationships between nodes through edges. Latent space models are crucial in analyzing network data for tasks like community de…
Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses
Ganghua Wang, Yuhong Yang, Jie Ding
The use of machine learning (ML) has become increasingly prevalent in various domains, highlighting the importance of understanding and ensuring its safety. One pressing concern is…