35 citations · 64 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
Speed Partitioning for Indexing Moving Objects
Xiaofeng Xu, Li Xiong, Vaidy Sunderam +2
Indexing moving objects has been extensively studied in the past decades. Moving objects, such as vehicles and mobile device users, usually exhibit some patterns on their velocitie…
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…
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…
Adaptively Sharing Time-Series with Differential Privacy
Liyue Fan, Li Xiong
Sharing real-time aggregate statistics of private data is of great value to the public to perform data mining for understanding important phenomena, such as Influenza outbreaks and…