Aug 24, 2022 · In this paper, we propose a differentially private high-dimensional data publication mechanism (DP2-Pub) that runs in two phases: a Markov- ...
In this paper, we propose a differentially private high-dimensional data publication mechanism (DP2-Pub) that runs in two phases: a Markov-blanket-based ...
Oct 1, 2023 · In this paper, we propose a differentially private high-dimensional data publication mechanism (DP2-Pub) that runs in two phases: a Markov- ...
In this paper, we propose a differentially private high-dimensional data publication mechanism (DP2-Pub) that runs in two phases: a Markov-blanket-based ...
Sep 15, 2023 · We propose a detailed double- perturbation mechanism to achieve invariant post randomization and differential privacy, then apply it to each ...
Apr 7, 2023 · Differential privacy (DP) is a widely used notion for reasoning about privacy when publishing aggregate data. In this paper, we observe that ...
In this paper, we propose a differentially private high-dimensional data publication mechanism (DP2-Pub) that runs in two phases: a Markov-blanket-based ...
April 2023: Our paper entitled “DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization” has been accepted by ...
DPPro, a differentially private algorithm for high-dimensional data release via random projection to maximize utility while guaranteeing privacy, ...
In order to address these challenges, we propose a differentially private high-dimensional data publication mechanism (DP2-Pub) that runs in two phases of a ...