35 citations · 48 across the 3 of their papers we have counts for
3 papers
cs.DB2016★ 7 cited
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model
Yonghui Xiao, Yilin Shen, Jinfei Liu +3
Hidden Markov model (HMM) has been well studied and extensively used. In this paper, we present DPHMM ({Differentially Private Hidden Markov Model}), an HMM embedded with a private…
cs.DB2012★ 6 cited
Bayesian inference under differential privacy
Yonghui Xiao, Li Xiong
Bayesian inference is an important technique throughout statistics. The essence of Beyesian inference is to derive the posterior belief updated from prior belief by the learned inf…
cs.DB2012★ 35 cited
DPCube: Differentially Private Histogram Release through Multidimensional Partitioning
Yonghui Xiao, Li Xiong, Liyue Fan +1
Differential privacy is a strong notion for protecting individual privacy in privacy preserving data analysis or publishing. In this paper, we study the problem of differentially p…