37 citations · 97 across the 26 of their papers we have counts for
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cs.CR2022
Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM
Yuzhe Li, Yong Liu, Bo Li +2
In this paper, we focus our attention on private Empirical Risk Minimization (ERM), which is one of the most commonly used data analysis method. We take the first step towards solv…
cs.LG2022★ 1 cited
Sharper Utility Bounds for Differentially Private Models
Yilin Kang, Yong Liu, Jian Li +1
In this paper, by introducing Generalized Bernstein condition, we propose the first high probability excess population risk bound for dif…
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…