10 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Stability and Generalization of Differentially Private Minimax Problems
Yilin Kang, Yong Liu, Jian Li +1
In the field of machine learning, many problems can be formulated as the minimax problem, including reinforcement learning, generative adversarial networks, to just name a few. So…
cs.LG2021
Towards Sharper Utility Bounds for Differentially Private Pairwise Learning
Yilin Kang, Yong Liu, Jian Li +1
Pairwise learning focuses on learning tasks with pairwise loss functions, depends on pairs of training instances, and naturally fits for modeling relationships between pairs of sam…
cs.LG2020★ 10 cited
Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Yilin Kang, Yong Liu, Ben Niu +3
Traditionally, there are two models on differential privacy: the central model and the local model. The central model focuses on the machine learning model and the local model focu…