Jul 5, 2024 · Our theoretical analysis reveals that sorting bins in ascending order prior to grouping effectively prioritizes the accuracy of smaller bins.
Our method deals with the count sequence of the original histogram first, using a "global sort" to reduce the degree of alternative distribution (a concept ...
May 10, 2024 · Study Findings on Computer Engineering Are Outlined in Reports from Dalian Maritime University (Ascending partition method for ...
In our histogram technique, an adaptive partitioning is used instead, which is supposed to better capture the distribution of the data. This is the un ...
Missing: Ascending | Show results with:Ascending
Feb 8, 2021 · Therefore, this paper proposes a highly efficient framework for differentially private histogram publication of numerical values in a ...
People also ask
What is a differentially private algorithm?
Differentially private machine learning algorithms are designed to protect the privacy of individuals in the training data. They use techniques from differential privacy to add noise while still allowing the algorithm to learn from the data and make accurate predictions or decisions.
What is the difference between bounded and unbounded differential privacy?
Bounded and Unbounded Differential Privacy
Under unbounded differential privacy, the sizes of and are different (by one row). Under bounded differential privacy, two datasets and are considered neighbors if can be obtained from by changing one row.
Apr 23, 2017 · In this paper, we propose two partitioning-based mechanisms, privacy-aware and utility-based partitioning, to handle personalized differential ...
We study differential privacy (DP) in the context of graph-structured data and discuss its formulations and applications to the publication of graphs and their ...
May 12, 2023 · The authors propose a novel APT (Ascending Partitioning and Tuning) method. First of all, it sorts each bin in original histogram according ...
Mar 17, 2022 · Table 1: Summary of existing works on DP on graphs, ordered ascending by publication year and alphabetically within the same year. The works are ...
[15] propose two approaches for the publication of differentially private histograms: NoiseFirst and StructureFirst. NoiseFirst is based on the baseline ...