Titlebook: Differential Privacy and Applications; Tianqing Zhu,Gang Li,Philip S. Yu Book 2017 Springer International Publishing AG 2017 data analysis

nuclear-tests

MONY

TRACE

誤傳

Transferred Intuitions. Scripted Routineswe consider a few directions, including adaptive data analysis, personalized privacy, multiparty computation, differentially private mechanism design, private genetic data, local differential privacy and learning model publishing.

HILAR

Book 2017 recent research on differential privacy with a theory perspective. It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications..Early chapters are focused on two major directions, differentially private data publishing and differen

ACTIN

軍火

Correlated Differential Privacy for Non-IID Datasets,correlated differential privacy problem and outlines the research issues and challenges in providing privacy guarantees for correlated datasets. Then it presents an innovative solution to solve the correlated differential privacy problem and shows that the solution is robust and effective.

Immunization

disciplined

Differentially Private Data Publishing: Non-interactive Setting,blem: one is decomposing the correlation between batch queries and another is publishing a synthetic dataset with the constraint of differential privacy to answer those proposed queries. Related methods are presented in the synthetic dataset publishing Sections.

arabesque