386 citations · 862 across the 22 of their papers we have counts for
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cs.DB2016★ 111 cited
Quantifying Differential Privacy under Temporal Correlations
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao +1
Differential Privacy (DP) has received increased attention as a rigorous privacy framework. Existing studies employ traditional DP mechanisms (e.g., the Laplace mechanism) as primi…
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…